Kubernetes Platform Engineer - Malmö
From our technology to our team members, Neo4j is built on relationships.
As part of Neo4j product engineering, you will work together with a diverse team of talented colleagues from around the world. Our culture encourages engineers who want to become deep experts in a particular field – or to build broad expertise across several technologies. Our engineers regularly work with peers in field engineering and experience the full lifecycle of the systems they build.
We build technology that helps cure cancers, addresses diabetes, and gets humans to Mars. We're proud to fight fraud, crush pandemics, and even help journalists uncover the truth. Neo4j’s engineering teams are located in Malmö, Sweden and London, UK.
The Role
We’re Neo4j, makers of the Neo4j graph database. We’re looking for experienced developers to join our Cloud Engineering team, where we’re building a new Database-as-a-Service product based on Neo4j. This service will deliver the power of Neo4j without the hassle of database setup, monitoring, maintenance, backups or updates. To be successful, our service must be robust, secure, and reliable.
We’re architecting for scale. We design our system to deploy updates multiple times a day without service interruption and to isolate customers from underlying infrastructure issues. The team’s mission is to build a multi cloud platform on Kubernetes where other cloud engineering teams can deploy their components, without having to focus on the underlying infrastructure. Other Aura teams can focus on adding business value to the product and shipping their code fast and safely to production with minimum friction.
What you will do:
- Developing and improving the Path to Production Engine (CI/CD)
- Building the Kubernetes platform using Kubernetes services provided by cloud providers (GKE, EKS, AKS)
- Handling day-to-day operations of the platform
- Enhancing the platform to improve its operational characteristics
- Enhancing the infrastructure such as Logging (Stackdriver, Loki), Monitoring (Datadog, Prometheus, Grafana), Tracing (Stackdriver, Grafana Tempo), Chaos Engineering (Gremlin)
- Load, scaling and robustness testing of the platform
What you will bring:
- Experience as a site reliability, network and/or software engineer in Cloud environments
- Programming experience - we use Go, Python and Bash
- Experience with building a Kubernetes platform
- Experience with Continuous Delivery
- Experience with logging, monitoring, tracing and chaos engineering solutions
Country
- SE
Neo4j Values:
Our work in Neo4j Engineering is guided by our company values:
(we)-[:VALUE]->(relationships)
(we)-[:FOCUS_ON]->(:UserSuccess)
(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})
(we)-[:DELIVER_ON]->(ourCommitments)
Why Join Neo4j?
Neo4j is one of the 20 most popular databases in the world, and the leader in the rapidly emerging Graph Database category. We’re building the technology that enables connected data to solve the world’s most pressing problems. You’ll work on unique engineering projects that challenge what’s possible.
We have customers in every industry across the globe, and our products a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics.
We pride ourselves on being a welcoming team. Most of us would agree that one of the best parts of working at Neo4j is the people we get to work with.
We encourage you to apply even if you don’t 100% fit the qualifications above. Why? Because we are committed to building an environment that fosters belonging, which means valuing intellectually honest discussions and being receptive to new ideas and perspectives.
One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience.
About Neo4j:
Neo4j is the leader in graph database technology. As the world’s most widely deployed graph database, we help organizations – including NASA, UBS and Volvo Cars – to reveal and predict how people, processes and systems interrelate. Using this relationships-first approach, applications built using Neo4j tackle connected data challenges such as analytics and artificial intelligence, fraud detection, real-time recommendations and knowledge graphs.
Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.
More information at www.neo4j.com.
