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Protocol Intelligence
Data-driven signals on your job's competitivenessBengaluru metro and attractive Staff Engineer title raise applicant density despite seniority and platform specialization.
Core platform and reliability expertise is transferable, though AI-agent experience favors ML/AI product backgrounds.
Explicit 8+ years requirement plus mandatory distributed-systems, Kubernetes, and platform reliability expertise enforces strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement distributed AI systems handling thousands of requests per hour focusing on reliability, performance, and cost-efficiency.
Establish and lead engineering excellence through testing strategies, observability systems, and CI/CD pipelines to minimize production issues.
Own technical roadmap for AI platform evolution and collaborate with ML engineers/researchers to productionize AI while maintaining system stability.
Minimum Requirements
8+ years experience building and operating distributed systems in production.
Proven track record improving system reliability to 99.9%+ uptime.
Expertise in microservices, containerization (Kubernetes), infrastructure as code.
Experience leading technical initiatives and mentoring engineering teams.
Ideal Candidate Profile
Experienced in production systems architecture with strong operational reliability focus, able to reduce incidents and improve system uptime.
Capable of establishing engineering standards and scalable platforms influencing team engineering practices.
Experience collaborating across AI research and engineering teams to integrate cutting-edge AI capabilities into stable production systems.