Senior Engineer

Reltio, Trusted Data Foundation for Your Business Outcomes 

About Reltio 

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. 

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. 

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

About The Team

Core Platform development is spread across multiple cross-functional teams, each building a large and complex component of the MDM platform. As a Senior Engineer in the team, you will be responsible for successful delivery of features in our areas of ownership, covering the following key aspects:

• Work with PMs to build a solid product roadmap with clear, well-defined goals and KPIs
• Drive design and development of features, provide thought and execution leadership
• Work across functions with QA, DevOps & Doc teams to ensure a high-quality delivery
• Present design for new initiatives in the global forum of architects

Job Duties and Responsibilities:

• Deliver features with high quality, be customer-focused.
• Champion engineering excellence, raise the bar on code coverage, coding guidelines and review processes. 
• Provide technical leadership and mentor junior team members. 
• Deal with ambiguity in complex problems, show bias for action. 
• Work closely with architects to actively shape the architecture of your work area and the broader product.
• Work closely with PM, QA & Doc teams to ensure a thorough testing strategy, robust deployment and lucid documentation of features.
• Effective communication with cross-functional teams and global stakeholders.

Skills You Must Have:

• Engineering degree in computer science field
• Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
• 5+  years of experience in design and development of products for enterprise customers
• 2-3 years of experience in building large-scale distributed data systems in Java and cloud technologies
• Proven track record of building functionalities from conception to delivery, engaging with customers and partners to drive successful adoption and customer satisfaction
• Experience in performance optimisations, code profiling, Java application runtime  analysis

Skills That Are Nice to Have: 

• Experience building services on one of the 3 major cloud service providers: AWS, Azure or GCP, hands-on experience in managed cloud databases & queue services
• Experience in driving customer focus for SaaS products
• Experience in big data and large-scale data processing technologies like Apache Spark, Apache Flink
• Experience in designing scalable data pipelines to cloud data warehouses and data lake platforms like Snowflake, Databricks
• Experience in cloud security principles
• Experience with Kubernetes