Software Engineer
Cognite (company site, opens in a new tab)3–6 yrsBengaluruOn-siteDirect career pageEst. 18–28 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate the core serverless execution engine and workflow orchestration layer enabling AI and automation capabilities.
- Own reliability engineering metrics including uptime, latency SLOs, and incident response to ensure deterministic function execution and data integrity.
- Architect scalable, multi-tenant, multi-cloud platform services with robust scheduling, queueing, retry mechanisms, and API-first design.
Minimum Requirements
- 3–6 years of engineering experience building and operating backend services at scale.
- Strong expertise in JVM languages (Kotlin preferred, Java acceptable), Python (FastAPI), distributed systems, and cloud-native service design (Kubernetes, Azure, GCP, AWS).
- Hands-on experience with workflow engines (e.g., Conductor, Apache Airflow) and event-driven architectures (Kafka, Pub/Sub).
- Familiarity with relational and non-relational databases (e.g., PostgreSQL, Redis), object storage, and observability tools (Open-telemetry, Prometheus, Grafana).
Ideal Candidate Profile
- Experienced in building highly reliable, scalable serverless and orchestration platform services supporting AI/ML workloads.
- Comfortable working in multi-tenant, multi-cloud environments managing complex distributed systems.
- Platform-minded engineer who values clean API design, automation, test-driven deployment pipelines, and observability instrumentation to empower downstream engineers.