SRE Operations Lead - AWS, GitLab & AIOps

Job Description Must Have Technical/Functional Skills • SRE / Application Reliability Engineering (ARE) and 24x7 production operations • Major Incident Management (P1/P2), ServiceNow, and Incident / Problem / Change Management • SLI, SLO, SLA governance; MTTR reduction; service reliability KPIs • AWS: CloudWatch, Route 53, S3, CloudFront, Lambda, ECR, and Bedrock • Observability: Dynatrace, Grafana, Splunk, and CloudWatch • Control-M and enterprise batch operations • GitLab CI/CD, REST APIs, Personal Access Tokens, security scanning, and DevSecOps • Python GitLab library and API-based automation • Automation, AIOps, event correlation, self-healing, and stakeholder management 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.