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Tier-1 brand, metro location, and a visible backend role increase competition, though niche Temporal/RAG skills narrow the pool.
Requires backend/platform and retrieval/AI integration skills, moderately transferable but favors engineering-platform backgrounds.
Multiple mandatory technical stacks and specialized platform/AI skills make shortlisting strict and selective.
Design and deploy resilient production microservices and Temporal workflows to automate continuous integration for enterprise storage platforms.
Optimize compute utilization and testbed scheduling across hardware and virtual machine fleets to reduce queue times and improve efficiency.
Develop AI-driven operational tools for root-cause analysis and developer triage, while managing platform observability and service stability end-to-end.
Proficiency in typed systems programming languages such as Go or Rust, and Python for automation and AI integration.
Experience with microservices architecture, concurrency, retries, idempotency, and Linux/Unix debugging across network, storage, and application layers.
Hands-on skills with containerization (Docker), Kubernetes workload management, and data querying with SQL or analytics engines.
Work Experience Required: Not explicitly mentioned in the JD; Must work primarily from Bangalore office with compliance to in-office policy.
Experienced backend and systems engineer with strong expertise in building durable, scalable microservices and workflows.
Practically skilled in applying AI and retrieval-augmented generation (RAG) techniques for operational tooling and automation.
Capable of owning platform metrics related to CI pipeline health and driving cross-team collaboration for developer experience enhancements.