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Tier-1 brand, mid-level SRE role in Bangalore with broad skill requirements increases candidate competition.
Platform/SRE and cloud skills are transferable, but responsible-AI and banking context increase specificity.
Explicit 5+ years and mandatory SRE/AWS/observability/LLM expertise make candidate filtering stringent.
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Own reliability, scalability, and automation of AI-powered applications and platform operations within Employee Platforms team.
Design and implement AI-driven solutions for intelligent alerting, noise reduction, and auto-correlation systems, including building observability and telemetry.
Lead adoption of enterprise AI-assisted engineering practices and define roadmap for AI-assisted SRE and observability, mentoring engineers on AIOps standards.
5+ years of applied software engineering experience with formal training or certification.
Strong experience in SRE, DevOps, or Platform Engineering roles with hands-on AWS skills (ECS, Lambda, API Gateway, Bedrock, CloudWatch, RDS, EKS).
Proven expertise in observability tools (OpenTelemetry, Grafana, Prometheus, ELK) and CI/CD tools (GitHub Actions, Jenkins, Spinnaker).
Demonstrated experience leading use of AI-assisted development tools with knowledge of responsible AI use, including secure handling and compliance; Work Experience Required: 5+ years
Experienced leader in AI-assisted SRE or Platform Engineering focused on operational excellence and automation at scale.
Technically strong with deep AWS cloud expertise combined with observability and distributed systems understanding.
Capable of driving adoption of AI-enhanced engineering workflows and coaching teams on secure and responsible AI practices within software delivery.