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Medium - niche platform skills but strong employer and metro location increase applicant competition.
Medium - core platform and distributed systems skills transferable, but Temporal and RAG CI expertise is specialized.
High - strict technical stack and distributed systems, Kubernetes, and ML integration requirements.
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Design, build, and own durable microservices and Temporal workflows to drive continuous integration for enterprise storage platforms.
Optimize infrastructure utilization by extending scheduling logic and placement algorithms across hardware and VM fleets.
Develop AI-driven operational tools for root-cause analysis, flake classification, and developer triage while driving platform observability and metrics ownership.
Proficiency in typed systems languages such as Go or Rust for backend services; Python skills for automation and AI logic integration.
Practical experience with microservice architecture, concurrency, retries, idempotency, and Linux/Unix debugging across network, storage, and application layers.
Familiarity with building AI/agentic workflows, prompt design, and integrating LLM APIs with vector databases and RAG systems.
Must be able to work from the Bangalore office as per company policy; Work Experience Required: Not explicitly mentioned in the JD.
Experienced backend/platform engineer with expertise in scalable microservices and distributed systems operating in mission-critical environments.
Comfortable working in a developer-first, fast-paced environment focused on continuous integration and infrastructure efficiency.
Skilled in integrating AI workflows and operational automation to reduce time-to-signal and eliminate recurring failures.