Section
Details
Job Title
SRE Operations Lead - AWS, GitLab & AIOps
Job Type
Full time
Client Location
Charlotte, NC
Work Arrangement
On site
Duration
Full-Time
Salary
Salary :- $100K to $120K Per Year
Job Summary
Job Details:-
Role :- SRE Operations Lead - AWS, GitLab & AIOps
Job Type:- Full Time
Salary :- $100K to $120K Per Year
Location:- Charlotte, NC Onsite
Experience Required:- 2+years of experience
Key Responsibilities
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
Required Qualifications
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.
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