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About CircleCI Engineering

At CircleCI, our engineering teams are the driving force behind the platform trusted by developers worldwide to build, test, and deploy their code with confidence. We operate at a massive scale, processing over 50 million builds per month for organizations ranging from innovative startups to industry-leading enterprises. Our platform sits at a critical intersection in the software development lifecycle, where reliability, performance, and user experience directly impact the productivity of development teams around the globe.

As we continue to innovate, we're increasingly leveraging AI to transform the software delivery experience. From intelligent test selection that reduces build times, to predictive analytics that prevent pipeline failures, to AI-powered developer tools that streamline workflows, we're using machine learning and artificial intelligence to solve complex engineering challenges. We believe AI represents the next frontier in CI/CD, enabling smarter, more efficient, and more reliable software delivery pipelines.

Your work at CircleCI directly impacts how software is delivered across the industry. When you contribute to our systems—whether they're customer-facing interfaces, core platform capabilities, or developer tools—you're helping teams worldwide ship better code faster and with greater confidence. The systems you'll help build enable innovation across the entire software industry, making you an essential part of the modern development ecosystem.

Team-Agnostic Placement

We hire team-agnostically at CircleCI, meaning we don’t recruit for a single team from the start. Instead, we get to know each candidate through the interview process and then place them on the team where their strengths, interests, and experience will make the greatest impact. This approach allows us to be thoughtful about matching engineers with the right challenges, and it gives new hires a stronger foundation for long-term success and growth. It’s part of our commitment to building balanced, high-performing teams that are set up to thrive.

By carefully matching your skills to the right team, we ensure you can make the most meaningful impact on systems that are critical to the success of development teams worldwide.

What You'll Do:

Architect, design, and lead the implementation of sophisticated distributed systems that address our most challenging technical problems and have company-wide impact.
Drive technical vision within your team while influencing architecture decisions across your domain, establishing patterns and practices that become standards throughout the organization.
Identify and solve systemic issues that span multiple components or services, developing architectural solutions that provide significant improvements to scalability, reliability, or developer experience.
Lead technical strategy for complex initiatives that connect to high-level business objectives, translating product vision into technical approach with clear execution plans.
Proactively identify and mitigate technical risks before they become critical issues, developing contingency plans and architectural safeguards for mission-critical systems.
Serve as the technical authority in your area of expertise, making high-stakes technical decisions with significant long-term implications for the platform.
Elevate the capabilities of senior engineers through targeted mentorship on both technical excellence and professional development, including architecture reviews, leadership development, cross-functional collaboration skills, and creating opportunities for others to grow their influence beyond pure technical contributions.
Drive the resolution of deeply complex technical debt and legacy system modernization efforts that require deep domain knowledge and sophisticated migration strategies.
Establish technical north stars and roadmaps for evolving critical systems over multiple quarters or years while balancing immediate business needs.
Represent engineering in cross-functional strategic planning, providing technical perspective that helps shape product direction and company initiatives.

What You'll Bring:

10+ years of professional software development experience with proven expertise designing large-scale distributed systems that handle significant complexity and scale.
Distinguished technical leadership track record with examples of architectural solutions that enabled step-function improvements in system capabilities.
Expert-level proficiency in Go and exceptional command of distributed systems principles, including advanced consistency models, failure detection, consensus protocols, and performance optimization techniques.
Demonstrated ability to navigate ambiguous problem spaces, deconstructing complex technical challenges into manageable components with clear implementation paths.
Deep technical influence within engineering organizations, with evidence of having shaped technical direction beyond your immediate team.
Exceptional systems thinking that considers interactions between components, anticipates failure modes, and designs robust solutions for mission-critical applications.
Ability to communicate complex technical concepts with extraordinary clarity to audiences at all levels, from engineers to executives.
Established record of growing senior engineers into stronger technical leaders through mentorship and creating growth opportunities.
Exceptional judgment when making architectural tradeoffs that balance performance, reliability, development velocity, and business impact.
Strong product and business acumen that enables you to connect technical decisions to user experience and business outcomes.

Bonus Skills (Nice to Have)

Experience architecting sophisticated AI/ML systems integrated into production platforms with demonstrable business impact.
Track record of designing advanced machine learning solutions for developer tooling that represent step-function improvements over traditional approaches.
Expertise in leveraging LLMs and other AI technologies to solve complex engineering challenges in the CI/CD domain.
Deep understanding of technical AI safety, explainability, and the implications of AI/ML for developer workflow optimization.
Experience with defining platform-level AI strategies that balance innovation with reliability and security requirements.

Canada Base Pay Range

$190,000—$237,500 CAD

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About CircleCI

CircleCI is the world’s largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster.

Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold
Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.

CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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Senior Data Engineer

About the Role

We're looking for a Sr. Data Engineer to shape the future of our data platform. You'll architect scalable systems, set technical direction, and build the frameworks that enable our data organization to operate at scale. This is a high-leverage role where your work multiplies the effectiveness of the entire team.

What You'll Do

Platform Architecture & Strategy

Own the technical roadmap for our data platform, making architectural decisions that balance scalability, cost, and maintainability
Evaluate and champion new technologies and tools, leading adoption across the organization
Design systems for terabyte-scale data processing with a focus on performance and cost optimization
Establish data engineering standards, patterns, and best practices that elevate team quality
Model infrastructure costs and drive efficiency initiatives across Snowflake and cloud platforms

Advanced Technical Work

Design and build scalable infrastructure for AI/ML workloads, including model training pipelines, feature engineering systems, and AI agent platforms
Build reusable frameworks and internal platforms that abstract complexity for other engineers
Design complex data models for critical business domains, balancing normalization, performance, and usability
Architect real-time/streaming data infrastructure for low-latency use cases
Engineer solutions for large-dataset performance challenges (Snowflake clustering, micro-partitioning, query optimization)
Create sophisticated data-contract validators and schema evolution frameworks
Develop profiling and drift detection systems that ensure data quality at scale

Technical Leadership

Conduct design reviews and provide architectural guidance for major initiatives
Lead incident response for critical data systems and drive blameless post-mortems
Define SLAs and reliability standards for data products
Mentor and upskill data engineers through pairing, code reviews, and technical discussions
Lead cross-functional projects with analytics, data science, and product teams

Operational Excellence

Build data observability platforms with intelligent alerting and monitoring
Perform capacity planning and scalability analysis for the entire data stack
Benchmark performance across infrastructure to identify optimization opportunities
Design self-service tools that enable analytics engineers and analysts to work independently

What You Bring

Technical Depth

Deep expertise with modern data warehouses (Snowflake strongly preferred) including advanced optimization techniques
Strong foundations in distributed systems, data structures, and algorithms
Production experience building high-volume data pipelines and ETL/ELT systems
Proficiency in Python/SQL and orchestration tools (Airflow, dbt, or similar)
Experience with cloud platforms (AWS/GCP) and infrastructure-as-code

Strategic Thinking

Track record of making architectural decisions with long-term impact
Ability to evaluate tradeoffs between competing approaches
Experience balancing technical excellence with business pragmatism
Proven ability to drive technical strategy across an organization

Leadership & Communication

History of mentoring engineers and raising team capabilities
Excellent written and verbal communication for technical and non-technical audiences
Ability to build consensus and influence without direct authority
Experience leading projects across multiple teams

Bonus Points

Experience with streaming systems (Kafka, Flink, etc.)
Data mesh or domain-oriented architecture implementation
Open source contributions or technical writing
Background in analytics engineering or data modeling

You'll Thrive Here If

You think in systems and frameworks, not just individual solutions
You're energized by making other engineers more effective
You balance perfectionism with pragmatic delivery
You're comfortable with ambiguity and defining your own projects
You care deeply about code quality, documentation, and operational excellence

United States Base Pay Range

$155,000—$193,000 USD

About CircleCI

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Sr. Software Engineer

About CircleCI Engineering

On-Premise Team

This is an opportunity to join the team that maintains CircleCI's on-premise products. We deliver high availability, on-premise CircleCI solutions that are easy to install, manage, and support in a secure, reliable, and maintainable manner. That includes our self-hosted runners and CircleCI Server, an on-premise CI/CD platform for enterprise customers who have compliance or security needs that require operation within a firewall, private cloud or data center.

What You'll Do:

Design and build reliable, observable, zero-downtime distributed systems that serve millions of builds across thousands of customers.
Write clear, maintainable, and well-documented Go code, with comprehensive unit, integration, and end-to-end tests to ensure long-term reliability.
Own your work from concept to deployment and beyond—debugging and improving production systems and infrastructure using tools like Honeycomb, Datadog, Grafana, and Rollbar.
Collaborate with cross-functional teams to shape and refine self-hosted Runners and evolve the internal developer experience for supporting CircleCI server.
Mentor junior and mid-level engineers, providing technical guidance and helping grow engineering excellence on your team.
Contribute to a culture of continuous improvement, helping your team and our customers succeed.
Grow your strategic impact and technical influence across the organization, supported by mentorship and exposure to deep engineering challenges.
Participate in and contribute to improving rotating on-call duties, including incident management for on-premises customers.
Collaborate closely with our Customer Support team to understand the needs and challenges of our on-premise customers.

What You'll Bring:

5+ years of professional software development experience, including production experience writing code in Go. Your broader background may span backend and infrastructure code.
Deep proficiency in Go and experience delivering production-quality software at scale.
Experience with cloud services and virtualization, for example, AWS and GCP.
Experience with Kubernetes, Helm Charts, and managing container-based architectures, including orchestration, service-discovery, monitoring, and debugging
Strong testing skills with experience writing comprehensive unit, integration, and end-to-end tests.
Professional experience delivering platforms and providing a great developer experience for internal and external customers.
A production-first mindset, with proven experience building, monitoring, supporting and debugging live distributed systems in real-world environments.
A pragmatic engineering approach, solving problems efficiently while balancing complexity and maintainability.
A collaborative spirit and a desire to grow, mentor, and lead alongside others.

Bonus Skills (Nice to Have)

Experience delivering On-premise software to Enterprise customers.
Familiarity with observability and performance optimization practices.
Experience in maintaining systems that run on multiple platforms, including Windows.

Canada Base Pay Range

$152,000—$190,500 CAD

About CircleCI

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Engineering Manager, Web Experiences

At CircleCI, we enable developers to do better work every day. We're solely focused on helping our customers build, test and deploy code faster, with confidence. We're seeking a hardworking engineering manager to join us for the adventure. In this role, you will challenge and support our engineers with the individual in mind and focus on helping to build a great culture that values diversity, inclusion, action orientation, and openness.

About the Role

We're looking for an Engineering Manager to lead our Web Experiences team, which owns the holistic user experiences where customers interact with CircleCI. This team plays a critical role in shaping how customers perceive and adopt CircleCI, directly impacting retention and expansion.

This leadership role requires staying close to the work as you build a high-trust, highly competent, and cohesive team while delivering meaningful product improvements at startup speed.

What You'll Be Doing

This role is a people-management position focused on engineering strategy, team performance, and the development of engineers. Some of your tasks and responsibilities will include:

People Development: Attract, onboard, and retain diverse top talent. Build psychological safety and trust within the team so engineers can take smart risks, give candid feedback, and do their best work. Develop people through coaching, mentoring, and management support. Conduct regular 1:1s, goal setting, and feedback conversations with engineers and support them in their career paths. Continuously work to improve inclusion and belonging.
Business Value Delivery: Ensure incremental value delivery and high-quality standards for the team while supporting strategic work in collaboration with partners in Design, Product, and Data. Balance speed with sustainability - we move fast, but we ship work we're proud of. Track performance metrics and identify opportunities for optimization and continuous improvement.
Customer and Stakeholder Engagement: Engage with stakeholders and customers to gather feedback, understand needs, and ensure engineering initiatives align with business objectives. For Web Experiences, this means staying connected to how customers actually use our product and translating those insights into team priorities.
Process and Collaboration: Maintain high levels of transparency and efficiency with other development teams, product managers, and other stakeholders. You'll also be involved in broader organizational development and cross-team initiatives with the rest of our engineering management team.
Technical Enablement: Help grow the expertise of your team in frontend performance, reliability, maintainable architecture, and experimentation. Ensure modern frontend practices are followed and help the team leverage AI tools and workflows to accelerate development.

Who You Are

People Management: You have prior experience in a people management role. You know how to build cohesive teams where people trust each other and hold each other accountable. Bonus points if you have done so in a fast-paced startup environment.
Remote Work: CircleCI is a remote-first company, and you should have experience leading and motivating a distributed team.
Delivery: You do not \"boil the ocean\" but prefer to deliver solutions incrementally, with experimentation and iteration along the way. You know modern software engineering practices and how to apply them to drive effective, timely, high-quality delivery. Experience with agile methodologies is an asset.
Learning: You bring action orientation and seek to continuously improve the teams you work with. You excel in a culture centered on open communication, strong feedback, quick experimentation, blamelessness, and embracing failure to learn from it.
Communication: You believe in open and honest communication and work to cultivate this within the team and organization. You approach everything with an open mind and listen to different perspectives before determining a path forward.
Technical: We don't expect you to write or review code, but you are technical enough to earn your team's trust, understand/question technical discussions and architecture decisions based on the company goals, anticipate pitfalls, and occasionally be the tiebreaker in technical conversations.

Nice to Have

Experience managing frontend-leaning full-stack teams: You have experience working on/leading teams - ideally with modern frontend frameworks (React, TypeScript, etc.). You can ask the right questions, spot quality issues, and raise the bar on frontend craft even if you're not writing code daily.
AI-forward mindset: You're excited about how AI is changing how we build software. You've experimented with AI coding assistants or other AI tools, and you're eager to help your team adopt practices that accelerate their work.

CircleCI welcomes those passionate about learning and evolving, so however you identify and whatever your background, if this looks like a role where you could do your best work, we hope you'll apply.

Canada Base Pay Range

$161,000—$201,500 CAD

About CircleCI

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CircleCI is looking for a Field Engineering Manager to join our EMEA team in a player-coach role, combining hands-on client engagement with team leadership to drive technical excellence and customer success in the DevOps and CI/CD space.

Summary

As the Field Engineering Manager for EMEA, you will operate in a player-coach capacity where you will learn firsthand how CircleCI technology supports customer requirements while managing and coaching the existing team. Based in EMEA and working with staff across various European countries, you will balance direct client-facing technical work with leading a distributed team of field engineers. This role requires rolling up your sleeves to deliver technical solutions alongside your team while providing guidance, mentorship, and operational coordination.

What You'll Do

Actively engage with customers and partners in a hands-on technical capacity, delivering solutions, conducting technical presentations, and supporting proof-of-concepts
Lead and coach a distributed field engineering team across EMEA, providing day-to-day guidance and professional development
Build deep knowledge of CircleCI technology through direct customer engagement and technical delivery work
Support both pre-sales and post-sales activities, working alongside your team to provide technical expertise and advisory services
Coordinate operational activities and work plans for the EMEA field engineering function, ensuring effective execution across time zones and locations
Develop and share best practices to optimize team effectiveness and customer satisfaction across the region
Foster collaboration within the distributed EMEA team and with cross-functional partners including sales, customer success, and product teams
Provide mentorship and coaching to team members, supporting their technical growth and career development
Monitor team performance and customer engagement, identifying opportunities for continuous improvement
Contribute to process improvements and operational efficiency initiatives
Manage resource coordination and capacity planning to meet regional objectives
Ensure quality standards and performance requirements are met for technical deliverables

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
5+ years of experience in field engineering, solutions engineering, or technical customer-facing roles within the technology industry
2+ years of experience coaching, mentoring, or leading technical team members
Strong hands-on technical background with expertise in software development, DevOps practices, CI/CD workflows, and cloud technologies
Demonstrated ability to balance individual contributor work with team leadership responsibilities
Proven track record of driving customer success through technical solutions and collaboration
Excellent communication and presentation skills, with experience engaging technical and business audiences at various organizational levels
Strong organizational skills with ability to manage multiple priorities across a distributed team environment
Experience working effectively across different European countries and time zones
Willingness to be a working team manager who remains actively involved in client-facing technical delivery
Knowledge of current trends in DevOps, CI/CD, and software delivery
Collaborative mindset with ability to build relationships across cross-functional teams
Customer-focused approach with passion for technical excellence and continuous improvement
Based in EMEA with authorization to work in your country of residence

About CircleCI

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Director of Data Science & Analytics

The Opportunity

We're looking for a Director of Data Science & Analytics to further build and lead our insights engine. This is a hands-on leadership role for someone who can operate across the full spectrum of analytics and data science—from ad hoc deep dives to ML models in production. You'll be a strategic partner to both Product and GTM leadership, bringing data-driven rigor to how we build products, acquire customers, and grow revenue.

This role is for a builder and disruptor. You'll inherit a solid foundation and be expected to level up the team with modern methodologies, emerging tools, and techniques that keep us ahead. If you geek out about experimentation frameworks, get excited about productionizing ML models, and believe analytics should drive decisions (not just report on them), we want to talk. The Data team at CircleCI is outcome-driven and impact-focused and has a seat at the table with functional leadership.

What You'll Own

Strategic Leadership

Serve as the analytics and data science thought partner to Product, Engineering, and GTM leadership—translating business questions into analytical frameworks and actionable insights
Define the vision and roadmap for how CircleCI uses data to make decisions, from product development to customer acquisition to retention
Build a culture of intellectual rigor, curiosity, and bias toward action

Analytics Excellence

Lead a team where ~80% of the work is ad hoc analysis and deep investigation—answering the hard questions that don't fit neatly into a dashboard
Drive our experimentation program: design methodology, statistical rigor, and organizational adoption
Own the ~20% of reporting work with an eye toward self-service and scalability—build it once, build it right

Data Science & ML

Oversee ML modeling initiatives across product and GTM use cases (propensity models, churn prediction, usage forecasting, recommendations)
Guide the team's emerging work in AI prompt engineering and context engineering as we explore AI-powered features
Ensure models move from notebooks to production with proper monitoring, maintenance, and business integration

Team Building

Lead and develop two managers (GTM Analytics, Product Analytics) and their teams—approximately 10 people total
Raise the bar on talent, methodology, and delivery across the organization
Foster collaboration with our Data Platform & Solutions team (who builds the infrastructure you depend on) and GTM Systems team (who operationalizes insights in tools like HubSpot, Vitally, and Zendesk)

What You Bring

Deep Expertise Across the Stack

10+ years in analytics, data science, or related fields with 4+ years leading teams
Genuine fluency across product analytics, GTM/marketing analytics, experimentation, and ML—you've done the work, not just managed it
Strong SQL skills and hands-on experience with Python for analysis and modeling
Experience with modern analytics and ML tooling (we use Snowflake, dbt, Mode, and are looking to you to help evaluate next-gen AI/BI tools)

Strategic & Business Acumen

Track record of influencing product and business strategy through data—not just answering questions but reframing them
Experience in B2B SaaS, ideally with product-led growth or developer-focused products
Comfort with ambiguity and the ability to structure problems in messy, fast-moving environments

Leadership & Influence

Experience building and scaling analytics/data science teams at growth-stage companies
Ability to attract, develop, and retain strong talent
Credibility to partner with senior Product and Engineering leaders as a peer, not just a service provider
Strong communicator who can translate complex analysis into clear narratives for technical and non-technical audiences

Disruptor Mindset

Genuine curiosity about emerging tools, techniques, and ways of working
Willingness to challenge the status quo and push the team (and organization) to adopt better approaches
Opinions about where analytics and data science are headed—and energy to get us there

Nice to Have

Experience with CI/CD, DevOps, or developer tools
Background in building experimentation platforms or frameworks
Familiarity with reverse ETL and data activation patterns
Experience with LLMs and AI/ML productionization

Why CircleCI

Shape the data strategy for a category-defining developer tools company
Build and lead a team doing meaningful, high-impact work
Partner with exceptional Product and GTMleaders who value data
Competitive compensation, equity, and benefits
Remote-first culture with flexibility and autonomy

United States Base Pay Range

$200,000—$254,000 USD

Canada Base Pay Range

$161,000—$201,500 CAD

About CircleCI

",254000,["D",1768516137000],["D",1772762486312],[259,260,261,262,263],{"_65":89,"_67":90,"_69":91},{"_95":268,"_97":109},{"_95":267,"_97":98},{"_95":266,"_97":104},{"_95":265,"_97":109},{"_95":264,"_97":104},{"_65":105,"_71":100,"_67":106,"_69":107,"_97":104},{"_65":110,"_71":111,"_67":112,"_69":113,"_97":114},{"_65":160,"_71":100,"_67":161,"_69":162,"_97":104},{"_65":156,"_71":100,"_67":157,"_69":158,"_97":98},{"_65":269,"_71":111,"_67":270,"_69":271,"_97":114},"3c66ac87-2a4c-44a9-8db5-9f40430825b8","San Francisco, California","san-francisco-california",{"_65":273,"_67":274,"_69":275,"_71":72,"_16":276,"_74":-5,"_76":-5,"_78":-5,"_80":-5,"_82":277,"_84":278,"_86":279,"_9":280},"a5215317-b581-474e-9ea7-67566f58a75f","Senior Software Engineer","senior-software-engineer-at-circleci-com-jan-7-2026-11dc55","

Sr. Software Engineer - P4

About CircleCI Engineering

About the CDMX team

Our brand-new Mexico City team is working closely with our U.S. engineering counterparts to build powerful, API-driven interfaces that enable cutting-edge AI-native initiatives. This team is all about building from the ground up (0→1 product development), driving innovation with autonomy, and cultivating a culture of self-sufficiency and technical excellence as we shape the future of continuous integration and delivery.

We're Particularly Interested In People Who:

Consider themselves Product Developers - those who crave solving complex customer problems, not just generating code.
Super curious about how things work, new technologies and new ways of doing things.
Are eager to learn and grow in a collaborative, distributed team environment.
Favor regular, incremental delivery over perfection.
Strive for continuous learning and improvement for themselves and their teams.
Leverage AI tools

What You'll Do:

Become one of the founding engineers in CircleCI Mexico!
Design and implement scalable, reliable solutions to seamlessly integrate CircleCI with AI agents and tools.
Refactor and modernize the API ecosystem to support high-volume, low-latency interactions at scale.
Use, document and advocate for the use of AI tools like Cursor or Windsurfi for streamlined testing workflows and result analysis.
Develop new features, simplify existing services, and automate repetitive processes to accelerate platform evolution.
Write clean, maintainable, and high-performance code with robust test coverage.
Operate, debug, and optimize production microservices within a complex, distributed environment.
Champion observability and monitoring best practices, leveraging operational data to drive reliability improvements.
Collaborate with cross-functional teams to align technical work with strategic goals.
Participate in design reviews, uphold engineering standards, and mentor peers to foster a culture of excellence.

What You'll Bring:

5+ years as a full-time professional developer with experience building reliable, zero-downtime, observable distributed systems.
Proficiency in Java or Go is a must — experience building production backend services in Java or Go. You must also be excited to become a Go expert with us 💪.
Experience contributing to 0-to-1 product features or services in a dynamic environment.
Familiarity with modern backend architectures including microservices, event-driven systems, and API design (REST, gRPC, or GraphQL).
Hands-on experience with cloud platforms (AWS, GCP, or Azure), Kubernetes, and monitoring/observability tooling.
Ability to write code that's easily readable, testable, maintainable, and documented, with an eye towards baking observability from the beginning.
The utmost care in regards to how your code runs in production. You're the kind of developer who's happy to dig around in tools like Honeycomb, Datadog, Graylog, and Rollbar and work out what needs to be done to address a problem.
Superb learning skills and think critically about both system design and software engineering concepts and blend those perspectives pragmatically based on project needs.
Ability to quickly adapt when priorities change and make conscious tradeoffs with incomplete information.

Bonus Skills (Nice to Have)

Knowledge of CI/CD tools, build systems, test automation, and deployment strategies.
Experience working with LLMs or AI-powered engineering tools, including prompt design and ethical considerations.

We're Particularly Interested In People Who:

Have a product-mindset to creatively solve complex customers problems, not just generate code.
Leverage AI tools.
Comfortable with quick pivots of direction.
Work transparently and collaboratively within a distributed team.
Favor regular, incremental delivery over perfection.
Strive for continuous learning and improvement for themselves and their teams.

About CircleCI

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Senior Data Engineer

About the Role

What You'll Do

Platform Architecture & Strategy

Own the technical roadmap for our data platform, making architectural decisions that balance scalability, cost, and maintainability
Evaluate and champion new technologies and tools, leading adoption across the organization
Design systems for terabyte-scale data processing with a focus on performance and cost optimization
Establish data engineering standards, patterns, and best practices that elevate team quality
Model infrastructure costs and drive efficiency initiatives across Snowflake and cloud platforms

Advanced Technical Work

Design and build scalable infrastructure for AI/ML workloads, including model training pipelines, feature engineering systems, and AI agent platforms
Build reusable frameworks and internal platforms that abstract complexity for other engineers
Design complex data models for critical business domains, balancing normalization, performance, and usability
Architect real-time/streaming data infrastructure for low-latency use cases
Engineer solutions for large-dataset performance challenges (Snowflake clustering, micro-partitioning, query optimization)
Create sophisticated data-contract validators and schema evolution frameworks
Develop profiling and drift detection systems that ensure data quality at scale

Technical Leadership

Conduct design reviews and provide architectural guidance for major initiatives
Lead incident response for critical data systems and drive blameless post-mortems
Define SLAs and reliability standards for data products
Mentor and upskill data engineers through pairing, code reviews, and technical discussions
Lead cross-functional projects with analytics, data science, and product teams

Operational Excellence

Build data observability platforms with intelligent alerting and monitoring
Perform capacity planning and scalability analysis for the entire data stack
Benchmark performance across infrastructure to identify optimization opportunities
Design self-service tools that enable analytics engineers and analysts to work independently

What You Bring

Technical Depth

Deep expertise with modern data warehouses (Snowflake strongly preferred) including advanced optimization techniques
Strong foundations in distributed systems, data structures, and algorithms
Production experience building high-volume data pipelines and ETL/ELT systems
Proficiency in Python/SQL and orchestration tools (Airflow, dbt, or similar)
Experience with cloud platforms (AWS/GCP) and infrastructure-as-code

Strategic Thinking

Track record of making architectural decisions with long-term impact
Ability to evaluate tradeoffs between competing approaches
Experience balancing technical excellence with business pragmatism
Proven ability to drive technical strategy across an organization

Leadership & Communication

History of mentoring engineers and raising team capabilities
Excellent written and verbal communication for technical and non-technical audiences
Ability to build consensus and influence without direct authority
Experience leading projects across multiple teams

Bonus Points

Experience with streaming systems (Kafka, Flink, etc.)
Data mesh or domain-oriented architecture implementation
Open source contributions or technical writing
Background in analytics engineering or data modeling

You'll Thrive Here If

You think in systems and frameworks, not just individual solutions
You're energized by making other engineers more effective
You balance perfectionism with pragmatic delivery
You're comfortable with ambiguity and defining your own projects
You care deeply about code quality, documentation, and operational excellence

Canada Base Pay Range

$133,000—$166,000 CAD

About CircleCI

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Senior Data Engineer

About the Role

*This position is hybrid and requires 3 days per week in office, in CDMX*

What You'll Do

Platform Architecture & Strategy

Own the technical roadmap for our data platform, making architectural decisions that balance scalability, cost, and maintainability
Evaluate and champion new technologies and tools, leading adoption across the organization
Design systems for terabyte-scale data processing with a focus on performance and cost optimization
Establish data engineering standards, patterns, and best practices that elevate team quality
Model infrastructure costs and drive efficiency initiatives across Snowflake and cloud platforms

Advanced Technical Work

Design and build scalable infrastructure for AI/ML workloads, including model training pipelines, feature engineering systems, and AI agent platforms
Build reusable frameworks and internal platforms that abstract complexity for other engineers
Design complex data models for critical business domains, balancing normalization, performance, and usability
Architect real-time/streaming data infrastructure for low-latency use cases
Engineer solutions for large-dataset performance challenges (Snowflake clustering, micro-partitioning, query optimization)
Create sophisticated data-contract validators and schema evolution frameworks
Develop profiling and drift detection systems that ensure data quality at scale

Technical Leadership

Conduct design reviews and provide architectural guidance for major initiatives
Lead incident response for critical data systems and drive blameless post-mortems
Define SLAs and reliability standards for data products
Mentor and upskill data engineers through pairing, code reviews, and technical discussions
Lead cross-functional projects with analytics, data science, and product teams

Operational Excellence

Build data observability platforms with intelligent alerting and monitoring
Perform capacity planning and scalability analysis for the entire data stack
Benchmark performance across infrastructure to identify optimization opportunities
Design self-service tools that enable analytics engineers and analysts to work independently

What You Bring

Technical Depth

Deep expertise with modern data warehouses (Snowflake strongly preferred) including advanced optimization techniques
Strong foundations in distributed systems, data structures, and algorithms
Production experience building high-volume data pipelines and ETL/ELT systems
Proficiency in Python/SQL and orchestration tools (Airflow, dbt, or similar)
Experience with cloud platforms (AWS/GCP) and infrastructure-as-code

Strategic Thinking

Track record of making architectural decisions with long-term impact
Ability to evaluate tradeoffs between competing approaches
Experience balancing technical excellence with business pragmatism
Proven ability to drive technical strategy across an organization

Leadership & Communication

History of mentoring engineers and raising team capabilities
Excellent written and verbal communication for technical and non-technical audiences
Ability to build consensus and influence without direct authority
Experience leading projects across multiple teams

Bonus Points

Experience with streaming systems (Kafka, Flink, etc.)
Data mesh or domain-oriented architecture implementation
Open source contributions or technical writing
Background in analytics engineering or data modeling

You'll Thrive Here If

You think in systems and frameworks, not just individual solutions
You're energized by making other engineers more effective
You balance perfectionism with pragmatic delivery
You're comfortable with ambiguity and defining your own projects
You care deeply about code quality, documentation, and operational excellence

About CircleCI

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Join CircleCI as an engineer who thinks out loud. You'll spend your days solving real problems on our AI team, then sharing what you learn with the broader engineering community. This isn't traditional developer relations—it's engineering work that happens to be public.

About the Team

You'll work directly with an Engineering cohort, while collaborating with Marketing on timing and reach. Our AI team is your technical home base, where you'll contribute to real features and stay connected to the challenges engineers face daily. You'll have the autonomy to chase interesting problems and the support to amplify your voice.

What you'll do

Content & Community (75% of your time)

Write blog posts, tutorials, and analysis that other engineers actually want to read
Build relationships in 3-5 engineering communities where your perspective matters
Jump on timely industry topics with substantive takes, not hot takes
Partner with Marketing to coordinate timing without sacrificing authenticity

Technical Work (25% of your time)

Contribute to CircleCI's AI team on features that ship to production
Be the first user of new AI-powered capabilities
Keep your technical skills sharp and your content grounded in reality

How you'll work

Make editorial calls independently while staying aligned with team goals
Represent CircleCI with good judgment in public forums
Find opportunities and act on them without waiting for permission

Who you are

You've shipped production software for 7+ years, with depth in testing, CI/CD, deployment, or reliability engineering
You write code regularly—whether for work, open source, or personal projects
People read what you write because you make complex topics clear and useful
Your online presence shows you can engage an audience authentically
You write your own content without needing ghostwriters or extensive editing
You're trusted in DevOps, testing, CI, or AI communities

You'll stand out if you have

Experience speaking at conferences or meetups
Open-source contributions that demonstrate your expertise
A track record of educational content or technical writing that resonates

United States Base Pay Range

$174,000—$228,000 USD

About CircleCI

",174000,228000,["D",1766532591000],["D",1776823253978],[393,394,395,396,397],{"_65":89,"_67":90,"_69":91},{"_95":402,"_97":140},{"_95":401,"_97":104},{"_95":400,"_97":109},{"_95":399,"_97":109},{"_95":398,"_97":140},{"_65":141,"_71":142,"_67":143,"_69":144,"_97":145},{"_65":168,"_71":111,"_67":169,"_69":170,"_97":114},{"_65":164,"_71":111,"_67":165,"_69":166,"_97":109},{"_65":105,"_71":100,"_67":106,"_69":107,"_97":104},{"_65":403,"_71":142,"_67":404,"_69":405,"_97":145},"96453d2d-bb8a-45f9-8b71-8dc588d40bb4","Tech Lead","tech-lead",{"_65":407,"_67":408,"_69":409,"_71":72,"_16":410,"_74":411,"_76":412,"_78":79,"_80":413,"_82":414,"_84":415,"_86":416,"_9":417},"8cb03d32-0b75-4ebc-9b70-5ca98e7acc58","Platform Engineer","platform-engineer-at-circleci-com-jun-16-2025-73c101","

At CircleCI, our engineering teams build the platform that developers worldwide rely on to build, test, and deploy their code. We operate at massive scale, processing over 50 million builds per month for organizations from startups to global enterprises. Our platform occupies a crucial position in the software development lifecycle, where reliability, performance, and user experience directly affect development team productivity worldwide.

We're integrating AI throughout our platform to enhance the software delivery experience. Our AI applications include intelligent test selection that reduces build times, predictive analytics that prevent pipeline failures, and AI-powered developer tools that streamline workflows. We use machine learning and artificial intelligence to solve complex engineering challenges, making CI/CD smarter, more efficient, and more reliable.

Your contributions at CircleCI shape how software is delivered across the industry. Working on our systems—whether customer-facing interfaces, core platform capabilities, or developer tools—means enabling teams worldwide to ship better code faster and with greater confidence. The systems you build support innovation throughout the software industry, positioning you at the center of modern software development.

About the CDMX Team

Our Mexico City team is building powerful solutions that transform how developers experience CI/CD. Working closely with our global engineering teams, you'll join a group that values in-person collaboration while embracing hybrid flexibility. As one of our founding engineers in Mexico, you'll help establish our engineering culture and create a community where everyone belongs and thrives.

What You'll Do

Pioneer CircleCI's engineering presence in Mexico City as a founding team member
Create and maintain CircleCI Orbs (https://circleci.com/es/orbs/) that provide reusable configuration packages, helping thousands of development teams streamline their CI/CD pipelines
Build and optimize Docker convenience images and full-scale machine images (Linux, Windows, macOS, Android) using Packer and Ansible, eliminating setup friction for developers worldwide
Take ownership of our Developer Hub (https://circleci.com/developer/), ensuring it remains secure, fast, and delightful to use
Maintain open-source repositories under CircleCI-Public (including the CircleCI CLI!), directly engaging with our developer community through GitHub
Design solutions that scale to millions of builds while maintaining the reliability our customers depend on
Grow your technical expertise through mentorship from senior engineers while tackling increasingly complex challenges

Who You Are

Technical Skills:

3+ years building production systems with DevOps practices, Golang, and microservices
Strong experience with distributed systems in real-world production environments
Expert-level bash and PowerShell scripting abilities
Hands-on experience with container registry management and distribution
Working knowledge of Kubernetes and cloud platforms (AWS and GCP)

Working Style:

You take ownership of problems and dig deep to understand complex systems
You're curious and love learning through experimentation and iteration
You write clean, maintainable code that others enjoy working with
You thrive in collaborative environments and value transparent communication

Bonus Points For:

Experience with AI/ML technologies in developer tools
Background in test automation and CI/CD optimization
Windows patching and Group Policy management experience
Contributions to open-source projects

What Makes You Successful Here:

You work openly and collaborate effectively across distributed teams
You ship incrementally and iterate based on feedback
You're passionate about continuous learning and helping others grow

About CircleCI

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About the Web Experiences Team

The Web Experiences team owns the holistic user experiences where customers interact with CircleCI. This team plays a critical role in shaping how customers perceive, adopt, and get value from CircleCI — directly impacting retention and expansion.

You'll be building the interfaces and experiences that tens of thousands of developers use every day to understand their builds, manage their pipelines, and make decisions about their software. This means your work has an outsized impact on how CircleCI feels to our customers. We care deeply about frontend craft, performance, and building interfaces that help developers move faster.

What You'll Do

Design & Build: Develop new frontend features and user experiences that shape how customers interact with CircleCI. Simplify existing interfaces and scale our systems as we rapidly grow and evolve.
Write Code: Produce sustainable, testable, high-quality, and high-performance code — primarily in React and TypeScript on the frontend, with backend contributions in Go.
Own the Customer Experience: Work closely with Design, Product, and Data partners to translate customer insights into polished, performant interfaces that developers love using.
Support & Maintain: Debug and support services in a complex distributed system. You care about how your code runs in production and are happy to dig into tools like Honeycomb, Datadog, Graylog, and Rollbar to understand and resolve issues.
Champion Observability: Foster a culture of monitoring and observability by using operational data to help your team increase the stability, performance, and usage of our systems.
Leverage AI: Use, document, and advocate for the use of AI tools like Claude/Cursor or similar for streamlined development workflows. Help the team adopt practices that accelerate their work through AI.
Collaborate & Innovate: Partner with members of a cross-functional team to dive deep into business problems, explore creative solutions, weigh design tradeoffs, and prioritize work to deliver maximum value incrementally.

What You'll Bring

Experience: 3+ years of professional experience building and debugging production web applications and distributed systems.
UX Expertise: Strong proficiency with modern frontend frameworks — React and TypeScript are our primary stack. You have a sharp eye for UI/UX quality, accessibility, and performance.
Full-Stack Versatility: While frontend-leaning, you're comfortable contributing to backend services in Go. You understand API design and can work across the stack when needed.
System Design: Experience designing systems and leading projects from clarifying requirements through to delivery. You think about architecture, not just features.
Code Quality: You write code that's easily readable, testable, maintainable, and documented, with observability baked in from the beginning.
Production Mindset: You care about how your code behaves in production. You're comfortable with monitoring, debugging, and operating services in a complex distributed environment.
Adaptability: You thrive in ambiguity — adjusting to changing priorities, making conscious tradeoffs when guidance is limited and information is incomplete, and instituting best practices when needed.

Bonus Skills (Nice to Have)

Experience with modern frontend performance optimization, accessibility standards, and design systems.
Knowledge of CI/CD tools, build systems, test automation, and deployment strategies.
Experience working with LLMs or AI-powered engineering tools, including prompt design and practical application in development workflows.

We're Particularly Interested In People Who:

Consider themselves Product Developers — those who crave solving complex customer problems, not just generating code.
Are super curious about how things work, new technologies, and new ways of doing things.
Leverage AI tools in their daily workflow and are excited about how AI is changing how we build software.
Work transparently and collaboratively within a distributed team.
Favor regular, incremental delivery over perfection.
Strive for continuous learning and improvement for themselves and their teams.
Are comfortable with quick pivots in direction and can adapt without losing momentum.

Canada Base Pay Range

$124,000—$155,000 CAD

About CircleCI

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About the Web Experiences Team

Location: Hybrid in Mexico City (Tue–Thu in office). The good kind of office: collaboration speed, culture building, flexible hours to avoid traffic, zero micromanagement!

What You'll Do

Design & Build: Develop new frontend features and user experiences that shape how customers interact with CircleCI. Simplify existing interfaces and scale our systems as we rapidly grow and evolve.
Write Code: Produce sustainable, testable, high-quality, and high-performance code — primarily in React and TypeScript on the frontend, with backend contributions in Go.
Own the Customer Experience: Work closely with Design, Product, and Data partners to translate customer insights into polished, performant interfaces that developers love using.
Support & Maintain: Debug and support services in a complex distributed system. You care about how your code runs in production and are happy to dig into tools like Honeycomb, Datadog, Graylog, and Rollbar to understand and resolve issues.
Champion Observability: Foster a culture of monitoring and observability by using operational data to help your team increase the stability, performance, and usage of our systems.
Leverage AI: Use, document, and advocate for the use of AI tools like Claude/Cursor or similar for streamlined development workflows. Help the team adopt practices that accelerate their work through AI.
Collaborate & Innovate: Partner with members of a cross-functional team to dive deep into business problems, explore creative solutions, weigh design tradeoffs, and prioritize work to deliver maximum value incrementally.

What You'll Bring

Experience: 3+ years of professional experience building and debugging production web applications and distributed systems.
UX Expertise: Strong proficiency with modern frontend frameworks — React and TypeScript are our primary stack. You have a sharp eye for UI/UX quality, accessibility, and performance.
Full-Stack Versatility: While frontend-leaning, you're comfortable contributing to backend services in Go. You understand API design and can work across the stack when needed.
System Design: Experience designing systems and leading projects from clarifying requirements through to delivery. You think about architecture, not just features.
Code Quality: You write code that's easily readable, testable, maintainable, and documented, with observability baked in from the beginning.
Production Mindset: You care about how your code behaves in production. You're comfortable with monitoring, debugging, and operating services in a complex distributed environment.
Adaptability: You thrive in ambiguity — adjusting to changing priorities, making conscious tradeoffs when guidance is limited and information is incomplete, and instituting best practices when needed.

Bonus Skills (Nice to Have)

Experience with modern frontend performance optimization, accessibility standards, and design systems.
Knowledge of CI/CD tools, build systems, test automation, and deployment strategies.
Experience working with LLMs or AI-powered engineering tools, including prompt design and practical application in development workflows.

We're Particularly Interested In People Who:

Consider themselves Product Developers — those who crave solving complex customer problems, not just generating code.
Are super curious about how things work, new technologies, and new ways of doing things.
Leverage AI tools in their daily workflow and are excited about how AI is changing how we build software.
Work transparently and collaboratively within a distributed team.
Favor regular, incremental delivery over perfection.
Strive for continuous learning and improvement for themselves and their teams.
Are comfortable with quick pivots in direction and can adapt without losing momentum.

About CircleCI

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About CircleCI Engineering

CI/CD has been solved. Now it's being reinvented. AI agents don't just run pipelines. They write code, trigger builds, interpret failures, and propose fixes. The interfaces that developers use to understand and trust that work don't exist yet. We're building them.

At CircleCI, our guiding principles aren't posters on a wall. We learn fast: we run experiments, accept failure, and scale what works. We think like the customer: every decision connects back to the developer sitting in front of a failing build at 2 am. We own the outcome: not just our slice of it, but the whole thing. If that's how you already work, you'll fit here.

Team-Agnostic Placement

We don't hire for a team. We hire for CircleCI. Where you land depends on where your strengths create the most leverage, and we figure that out together. You might own the CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The through line across all of it is the same: full-stack ownership, a high bar for craft, and work that directly shapes how tens of thousands of developers experience CircleCI every day.

What You'll Do

Build AI-natively. AI is how we work. It’s not a productivity layer on top of engineering, but the default starting point for how problems get approached and solved.
Invent new interfaces. Software delivery is being reinvented. Pipelines run autonomously, generate fixes, and surface results that need human judgment. The tools developers use to understand, trust, and act on that work don't exist yet. You'll define what they look like.
Obsess over craft. Reliability and responsiveness are design concerns, not afterthoughts. Care about how the interface holds up when stakes are high.
Champion observability. Use Honeycomb, Datadog, and Rollbar to understand and improve your systems. Operational data drives stability, not just incident response.
Pick up slack. You'll notice gaps and close them — not because you were asked, but because that's the standard we hold ourselves to.

What You'll Bring

AI-native engineering practices. You use AI tools daily and can speak to what you've built, where they changed your approach, and where they fall short.
A track record of shipping. You've built something real and put it in front of users. 3+ years of production full-stack, backend leaning experience.
Backend depth. Strong backend expertise in Go, including API design, data modeling, and service integration, with the ability to contribute across the stack when needed.
System design. You think about architecture, not just features. You make conscious tradeoffs and document your reasoning.
Production mindset. Latency, responsiveness, and reliability are design concerns. You're comfortable operating services in a distributed environment.

Sound like you?

You've stopped waiting for AI to mature and are already building with it, not as a productivity trick, but as a core part of how you think about problems. You care about the product as much as the code. You're drawn to work where the patterns don't exist yet and the best answer requires you to invent it. If that's how you already operate, we want to talk.

Canada Base Pay Range

$127,000—$159,000 CAD

About CircleCI

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About the Role

We’re looking for someone who can’t stop building with AI—and can’t stop showing people what they’ve built.

You’re probably the kind of engineer who spends your evenings wiring agents together just to see what breaks. Your GitHub is full of experiments that are half-finished by traditional standards, but fully alive in your head. You’ve already built something with multi-agent systems, orchestration flows, or LLM pipelines passing work between each other—and the first thing you did wasn’t polish it, it was demo it.

You don’t wait for things to be “ready.” You ship the weird version, the messy version, the “this might break” version, because that’s where the learning is. And then you talk about it. A lot.

About the Team

You sit close to our AI engineering team, where real features are being built and shipped. This is your technical home base—you’re not just observing what we’re building, you’re inside it, using it early, breaking it early, and helping shape how it evolves. You’ll also work closely with Marketing, but only to amplify what’s already real, not to manufacture it.

What You'll Do

Content & Community (50% of your time)

Write about what you actually built—what worked, what broke, and what surprised you
Show up in AI-native engineering communities where people are actively figuring things out in real time
Jump into conversations early, before consensus exists, and share what you’re learning as you go
Work with Marketing to amplify your work, without slowing down how fast you share it

Events & Representation (25% of your time)

Go to meetups and conferences with live demos that are still evolving
Spend time in SF and global engineering communities where AI-native builders are actively experimenting
Show up regularly—not just to speak, but to demo, learn, and exchange ideas
Help CircleCI stay present in the conversations that are defining how AI systems are actually being built

Technical Work (25% of your time)

Use CircleCI’s AI features before anyone else does
Build alongside our AI team so your content is grounded in real systems, not theory
Push on new capabilities by trying to break them early and often
Stay close to the edge of what’s possible so you can talk about it credibly

How You'll Work

You move fast and independently, deciding what’s worth sharing and when
You’re trusted to represent CircleCI in public spaces with good judgment
You don’t wait for permission—you find interesting things and make them visible

Who You Are

You’re earlier in your career but already deep in AI-native building
You’ve shipped experiments with agents, orchestration, or LLM-driven systems—even if they were scrappy
You have strong opinions about how AI systems should be structured, and you’re not shy about sharing them
You write and demo because it’s how you think, not because it’s assigned

You'll Stand Out If You Have

A GitHub full of AI experiments that you actively share or demo
Experience posting technical content while you’re still building it
A presence in AI or builder communities where people recognize your work or ideas

United States Base Pay Range

$153,000—$191,000 USD

About CircleCI

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About CircleCI Engineering

Team-Agnostic Placement

What You'll Do

Build AI-natively. AI is how we work. It's not a productivity layer on top of engineering, but the default starting point for how problems get approached and solved.
Set technical direction. You define the approach others build from. When the problem is complex or the answer isn't obvious, you're the person who leads the design discussion, writes the ADR, and makes the call.
Invent new interfaces. Software delivery is being reinvented. Pipelines run autonomously, generate fixes, and surface results that need human judgment. The tools developers use to understand, trust, and act on that work don't exist yet. You'll define what they look like and establish the patterns the team builds on.
Own the full stack. Build features end-to-end in Go, React, and TypeScript. You don't hand off at a layer boundary. You own the outcome.
Obsess over craft. Reliability and responsiveness are design concerns, not afterthoughts. Care about how the interface holds up when stakes are high and hold your team to that same standard.
Champion observability. Use Honeycomb, Datadog, and Rollbar to understand and improve your systems. Operational data drives stability, not just incident response.
Close gaps and fix the conditions that created them. You'll notice gaps and close them. When a gap reflects something broken in how the team works, you fix that too.

What You'll Bring

AI-native engineering practices. You use AI tools daily and can speak to what you've built, where they changed your approach, and where they fall short.
A track record of shipping. You've built something real and put it in front of users. 5+ years of production full-stack experience, with latency, responsiveness, and reliability treated as design concerns, not afterthoughts.
Full-stack depth. Strong React and TypeScript. Comfortable owning backend services in Go: API design, data modeling, service integration.
System design. You lead architectural decisions on complex systems. You make conscious tradeoffs, document your reasoning, and create the foundation others build on.
Adaptability. You don't just thrive in ambiguity, you reduce it for others. You turn unclear requirements into a direction the team can execute on.
Technical leadership. You mentor engineers, give direct feedback on technical direction, and raise the quality bar through how you engage in reviews and design discussions, not just what you ship.

Sound like you?

About CircleCI

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About Analytics Engineering at CircleCI

The Analytics Engineering team at CircleCI applies software engineering rigor to our data systems. We design the architecture, governance, and tooling that allows teams across the company to access and act on high-quality data. We define what data means, govern how it's used, and deliver it to the people, systems, and AI agents that depend on it. We're looking for someone who brings technical curiosity, attention to detail, and an entrepreneurial mindset and who wants to grow into a full-stack analytics engineer over time.

As an Associate Analytics Engineer at CircleCI, you will work alongside our Analytics Engineering team to help bridge the gap between our data platform engineers and the rest of the business. You'll contribute to delivering well-defined, transformed, tested, and documented data to business users and downstream systems, helping the company strategically use data to operate and grow.

Must be currently located in EST Timezone (Open to Remote, US EST OR Remote, Ontario, Canada.

What you'll do:

Build and maintain data models and pipelines that deliver well-defined, tested, and documented data to business users and downstream systems
Contribute to data quality standards, model documentation, and column-level lineage across our dbt projects
Support the team in pushing data into business operating systems and AI-powered workflows that help the company function and grow
Learn and apply best practices around source-of-truth models, metric definitions, and data grain under the guidance of senior engineers
Use AI to automate analytics engineering processes, reduce toil, and build net-new capabilities for the data organization
Partner with data platform engineers to help ensure pipelines and data models run reliably in production
Collaborate with business stakeholders to understand data needs and help translate them into governed, reusable data assets

What we're looking for:

Experience: 1–2 years as an analytics engineer, data analyst, or in a related technical role
dbt & SQL: Foundational SQL skills and some exposure to dbt or a modern data stack; a strong desire to develop deep expertise in both
AI fluency: Curiosity about using AI to move faster, automate processes, and build things that weren't previously possible
Technical skills: Some familiarity with Python and an eagerness to grow. Basic understanding of schema design and data pipeline concepts
Business judgment: Interest in understanding how data models serve real business decisions, and how to translate business needs into reliable data
Semantic precision: Care for writing clear, unambiguous definitions and documentation, for both human and AI consumers of data
Schedule: Must be able to work Eastern Time hours to support on-call coverage for our data systems

Soft skills and values:

Problem-solving: Curiosity, a bias toward action, and an entrepreneurial approach to building in ambiguous environments
Communication: Able to translate between technical and business audiences with clarity
Openness: Receptive to feedback, comfortable questioning assumptions, and resilient when priorities shift
Planning: Structured thinker who can balance learning fundamentals with near-term delivery

United States Base Pay Range

$100,000—$125,250 USD

Canada Base Pay Range

$98,000—$122,750 CAD

About CircleCI

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About CircleCI Engineering

Team-Agnostic Placement

What You'll Do

Build AI-natively. AI is how we work. It’s not a productivity layer on top of engineering, but the default starting point for how problems get approached and solved.
Invent new interfaces. Software delivery is being reinvented. Pipelines run autonomously, generate fixes, and surface results that need human judgment. The tools developers use to understand, trust, and act on that work don't exist yet. You'll define what they look like.
Obsess over craft. Reliability and responsiveness are design concerns, not afterthoughts. Care about how the interface holds up when stakes are high.
Champion observability. Use Honeycomb, Datadog, and Rollbar to understand and improve your systems. Operational data drives stability, not just incident response.
Pick up slack. You'll notice gaps and close them — not because you were asked, but because that's the standard we hold ourselves to.

What You'll Bring

AI-native engineering practices. You use AI tools daily and can speak to what you've built, where they changed your approach, and where they fall short.
A track record of shipping. You've built something real and put it in front of users. 3+ years of production full-stack, backend leaning experience.
Backend depth. Strong backend expertise in Go, including API design, data modeling, and service integration, with the ability to contribute across the stack when needed.
System design. You think about architecture, not just features. You make conscious tradeoffs and document your reasoning.
Production mindset. Latency, responsiveness, and reliability are design concerns. You're comfortable operating services in a distributed environment.

Sound like you?

United Kingdom Base Pay Range

£76,500—£95,000 GBP

About CircleCI

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As a Senior Solutions Engineer at CircleCI you will be the customer’s trusted technical advisor throughout the sales and retention lifecycle. You’ll provide hands-on advice for cloud-based and single tenant deployment and product guidance with CircleCI’s largest prospects and customers. You will serve as the technical expert and owner of deal validation strategy, collaborating with account executives and success managers to identify customer business goals, needs, and pains and showing how CircleCI can address them.

What You’ll Do

Lead the technical implementation and day-to-day management of CircleCI Demonstrations and proof-of-concepts.
Demonstrate the technical feasibility , integrated into our customer’s technology stack, ensuring early customer success and a long-term business relationship.
Serve as a technical advisor and subject matter expert for customers, offering guidance on product implementation, adoption, and best practices.
Conduct in-depth analysis of customer use cases, identify opportunities for product optimization, and provide feedback to internal teams for improvements.
Support strategic planning conversations with customer executives; connecting software delivery challenges with corporate objectives, articulating their full business impact.
Lead technical discussions with enterprise clients, addressing complex issues, customizations, and integrations to meet customer-specific requirements.
Develop and deliver technical training sessions, workshops, and documentation to empower customers to maximize the value of CircleCI products.
Stay up-to-date on industry trends, product updates, and emerging technologies to continuously enhance your technical knowledge and customer support capabilities.

What We’re Looking For

5-10 years experience as an engineer in the application development, devops, or CI/CD space.
Extensive experience with solutions selling in a technical customer-facing role, such as Sales Engineer, Solutions Engineer, Customer Success Engineer, or similar position, preferably in a SaaS or software development environment.
Strong proficiency in CI/CD concepts, DevOps practices, software configuration, and scripting languages like Python, Shell, etc..
Knowledge of Docker or Linux containers in general.
Outstanding presentation skills. You feel comfortable leading presentations and demos of our platform to groups, both technical and non-technical, in-person and virtually.
Proven track record of engaging with enterprise clients, understanding their technical requirements, and delivering solutions that drive customer success.
Ability to work collaboratively with cross-functional teams, Sales, Product, and Engineering, to advocate for customer needs and provide valuable insights for product enhancement.

Ideal Candidates might also have:

Experience developing mobile applications across iOS and Android devices.
Strong ops/infrastructure knowledge, especially networking and security.

About CircleCI

CircleCI is the world’s largest shared continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 1 million builds a day - CircleCI has unique access to data on how engineering teams work, and how their code runs. Companies like Spotify, Coinbase, and BuzzFeed use us to improve engineering team productivity, release better products, and get to market faster.

Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit and Harrison Metal Capital.

United States Base Pay Range

$153,000—$191,000 USD

About CircleCI

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About CircleCI Engineering

Team-Agnostic Placement

What You'll Do

Build AI-natively. AI is how we work. It's not a productivity layer on top of engineering, but the default starting point for how problems get approached and solved.
Set technical direction. You define the approach others build from. When the problem is complex or the answer isn't obvious, you're the person who leads the design discussion, writes the ADR, and makes the call.
Invent new interfaces. Software delivery is being reinvented. Pipelines run autonomously, generate fixes, and surface results that need human judgment. The tools developers use to understand, trust, and act on that work don't exist yet. You'll define what they look like and establish the patterns the team builds on.
Own the full stack. Build features end-to-end in Go, React, and TypeScript. You don't hand off at a layer boundary. You own the outcome.
Obsess over craft. Reliability and responsiveness are design concerns, not afterthoughts. Care about how the interface holds up when stakes are high and hold your team to that same standard.
Champion observability. Use Honeycomb, Datadog, and Rollbar to understand and improve your systems. Operational data drives stability, not just incident response.
Close gaps and fix the conditions that created them. You'll notice gaps and close them. When a gap reflects something broken in how the team works, you fix that too.

What You'll Bring

AI-native engineering practices. You use AI tools daily and can speak to what you've built, where they changed your approach, and where they fall short.
A track record of shipping. You've built something real and put it in front of users. 5+ years of production full-stack experience, with latency, responsiveness, and reliability treated as design concerns, not afterthoughts.
Full-stack depth. Strong React and TypeScript. Comfortable owning backend services in Go: API design, data modeling, service integration.
System design. You lead architectural decisions on complex systems. You make conscious tradeoffs, document your reasoning, and create the foundation others build on.
Adaptability. You don't just thrive in ambiguity, you reduce it for others. You turn unclear requirements into a direction the team can execute on.
Technical leadership. You mentor engineers, give direct feedback on technical direction, and raise the quality bar through how you engage in reviews and design discussions, not just what you ship.

Sound like you?

Canada Base Pay Range

$156,000—$196,000 CAD

About CircleCI

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