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Strong employer brand, mid-level generalist devops role, and Bangalore location drive high candidate competition.
Medium — core platform and devops skills are transferable, but Temporal, storage CI, and RAG workflows are specialized.
High due to required systems languages, Kubernetes, Temporal, distributed scheduling, and AI retrieval expertise.
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Design and deploy resilient microservices and Temporal workflows for continuous integration of enterprise storage platforms.
Optimize compute and testbed utilization through in-house scheduling and placement algorithms to improve infrastructure efficiency.
Build agentic AI tools for automated root-cause analysis and developer triage, and maintain platform metrics to ensure service stability.
Proficiency in typed systems languages such as Go or Rust for backend services and Python for automation.
Experience with microservice architecture, concurrency handling, and Linux/Unix debugging.
Hands-on skills with containerization (Kubernetes), data querying (SQL or analytics engines), and AI integration including LLM APIs and RAG systems.
Work Experience Required: Not explicitly mentioned in the JD; Onsite location requirement: Must work from Bangalore office as per company policy.
Experienced backend or systems engineer with strong expertise in typed systems programming and AI workflow integration.
Skilled in designing robust CI/CD pipelines and optimizing compute resource usage efficiently in distributed systems.
Capable of end-to-end operational ownership of platform services and collaborating across product teams for developer experience improvements.