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Tier-1 brand, mid-level SRE title, metro location, and broad AI/cloud skillset increase competition.
Core DevOps skills are transferable, but AI-assist, responsible-AI, and compliance emphasis raise moderate domain sensitivity.
Explicit 5+ years and mandatory SRE/DevOps, AWS, observability, CI/CD, and LLM/AI tooling requirements create strict filters.
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Own reliability, scalability, and automation of AI-powered applications and platform operations.
Design and implement AI-driven intelligent alerting, noise reduction, and auto-correlation systems.
Lead adoption and roadmap execution for AI-assisted SRE and observability practices across the engineering team.
5+ years of applied software engineering experience with formal training or certification.
Strong experience in SRE, DevOps, or Platform Engineering roles.
Hands-on experience with AWS services including ECS, Lambda, API Gateway, Bedrock, CloudWatch, RDS, and EKS.
Expertise in observability tools (e.g., OpenTelemetry, Grafana, Prometheus, ELK) and CI/CD tools (GitHub Actions, Jenkins, Spinnaker).
Experienced in leading AI-assisted software engineering tools and practices with focus on validation for correctness, performance, and security.
Skilled in implementing responsible AI use in engineering workflows including secure handling of data and compliance.
Demonstrates strategic leadership in building operational tooling, automation, and intelligent incident response for distributed cloud systems.