What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
About The Role
We're seeking a Senior Software Engineer who excels at building high-performance distributed systems and thrives in a fast-paced startup environment. You'll be working on cutting-edge data infrastructure challenges that directly impact how Fortune 500 industrial companies manage their most critical operational data.
About The Team
At Metric Marvels, our mission is to transform raw data into actionable insights. We excel in deciphering complex metrics, uncovering patterns, and delivering strategic recommendations. With both precision and creativity, we enable our customers and Cognite’s organization to make informed decisions, drive growth, and attain excellence.
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.
Required Qualifications
- 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.
What we offer:
- Opportunity to build world-class Industrial DataOps systems powering global energy, manufacturing, and industrial AI customers.
- A fast-growing, high-ownership environment in Cognite’s India R&D Center.
- Work on cutting-edge distributed systems, streaming architectures, AI-ready data platforms, and industrial-scale challenges.
- A culture that rewards innovation, autonomy, continuous learning, and open-source contribution.
- Competitive compensation, equity, and benefits aligned with Cognite’s global standards.
Learn more about us
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
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