How you'll demonstrate Ownership

• Develop Cognite Data Fusion - a robust, state-of-the-art SaaS for industrial data.
• Solve concrete industrial data problems by designing and implementing delightful APIs and robust services with Java/Python and Kotlin.
• Build graph database technology using PostgreSQL and Elasticsearch to power our industrial knowledge graph, realizing Cognite's vision of a safer and more efficient industrial future.
• Work with application teams to ensure a delightful user experience that helps the user solve complex real-world problems that have yet to be solved.
• Build scalable, performant solutions with open-source technologies such as Spark, FoundationDB, and Cognite's data infrastructure.
• Collaborate with stakeholders and subject matter experts.
• Be actively involved in product and technical decisions.

The Impact you bring to Cognite

• Deep expertise in Spark internals, including Catalyst optimizer, partitioning, and performance tuning.
• Strong hands-on experience with Flink/Kafka for both streaming and batch workloads.
• Proven ability to scale systems to 10K+ QPS with strong foundations in JVM performance, GC tuning, and memory management.
• Experience building high-throughput REST/gRPC services and advanced caching with Redis/in-memory data structures.
• Strong understanding of monitoring and observability (Prometheus, Grafana, OpenTelemetry).
• Solid architectural thinking with an ability to design distributed, secure, and resilient platforms.
• Collaborative mindset with the ability to work across engineering, product, and platform teams.

• You have 6-10 years of experience in backend software engineering with Java, Python and/or Kotlin.
• You have experience with modern database technologies, including PostgreSQL and Elasticsearch.
• You write well-structured, efficient, and maintainable code, and you actively maintain the quality of the codebase.
• You have broad experience with DevOps practices, including CI/CD and Infrastructure as Code.
• You are adept at building, testing, deploying, and monitoring software in a multi-cloud Kubernetes environment across AWS, GCP, or Azure.
• You have strong troubleshooting and problem-solving skills and can effectively analyze logs, traces, and metrics to take appropriate actions based on your findings.
• You have a solid understanding of monitoring tools such as Prometheus and Grafana.
• You are comfortable engaging with the open-source community, including requesting features and contributing fixes.
• You have excellent communication and collaboration skills.