SRE Operations Lead - AWS, GitLab & AIOps

Must Have Technical/Functional Skills:

SRE/ARE + 24x7 Production Support (CI/CD, DevSecOps) Claude Code to be used for troubleshooting and some level of automation Accessing repositories (Gitlab etc), awareness of branching strategies Claude to be used for troubleshooting and some level of automation Python - Shell scripting/ intermediate AWS (CloudWatch, Route53, S3, CloudFront, ECR , EC2) (some, not all) Incident Management + Automation/AIOps 5+ years in SRE / application reliability leadership

Roles & Responsibilities:

Lead 24x7 SRE operations and coordinate P1/P2 major incident response through service restoration and follow-up. Own reliability measures including SLIs, SLOs, SLAs, MTTR improvement, and service reliability KPIs. Drive end-to-end observability using Dynatrace, Grafana, CloudWatch, and Splunk. Lead automation, AIOps, self-healing, event correlation, and AI-driven operations initiatives. Oversee AWS platform operations, batch processing, and Control-M environments. Integrate Claude AI on AWS Bedrock with GitLab using APIs, PATs, and custom workflows. Develop AI-driven analysis of GitLab project data, vulnerabilities, pipelines, and security findings. Design GitLab API automation, custom workflows, DevSecOps controls, and CI/CD pipeline improvements. Build and maintain Python-based GitLab integrations and REST API solutions. Support vulnerability remediation and onboarding/configuration of security scanning tools. Manage AWS Lambda, ECR, and Bedrock for deployment and automation; optimize Lambda configuration, concurrency, and scaling. Design and support resilient multi-region AWS architectures and containerized deployments using Docker and Amazon ECR.

Salary: $70,000 - $120,000