SRE Operations Lead - AWS, GitLab & AIOps

Envision Technology Solutions; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Envision Technology Solutions in Charlotte, NC is seeking an SRE Operations Lead to own 24x7 production reliability on AWS, GitLab, and Bedrock integrations. This onsite role requires strong incident management, powerful automation skills, and a proven track record in deploying AI-assisted operations to reduce MTTR.

You will lead cross-functional teams across cloud services, observability platforms, and batch workflows using CloudWatch, Dynatrace, Grafana, and Control-M.

Qualifications

• Hands-on SRE with 24x7 production operations experience.
• Strong incident and change management across P1/P2 events.
• Experience integrating AWS with GitLab CI/CD and AIOps.

Responsibilities

• Lead 24x7 SRE operations and coordinate major incident response.
• Drive MTTR reduction and reliability KPIs across services.
• Mentor engineers and promote automation-first, Blameless practices.

Skills

SRE / ARE

Incident Management

AWS

Observability

GitLab CI/CD

Python

Automation / AIOps

Leadership

P1/P2 Response

Control-M

Tools

Dynatrace

Grafana

Splunk

CloudWatch

Bedrock

Docker

ECR

GitLab API

Control-M

Job description

Job Title: SRE Operations Lead - AWS, GitLab & AIOps

Location: Charlotte, NC (Onsite)

Job Type:- Full Time Permanent

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
• 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.

Generic Managerial Skills

• Lead geographically distributed operations teams and coordinate effectively during critical incidents.
• Communicate reliability risks, service performance, and remediation plans to technical and business stakeholders.
• Drive governance, prioritization, continuous improvement, and cross-team collaboration.
• Mentor engineers and promote automation-first, blameless, and reliability-focused ways of working.