SRE Operations Lead - AWS, GitLab & AIOps

Tata Consultancy Services; Charlotte (NC); On-site; USD 70,000 - 120,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced SRE/ARE leader to oversee 24x7 production operations, major incident management, and reliability governance. You will drive observability across Dynatrace, Grafana, CloudWatch, and Splunk, while leading automation initiatives with GitLab CI/CD and DevSecOps practices.

The role focuses on optimizing MTTR, SLIs/SLOs, and reliability KPIs, including multi-region AWS and batch processing workloads.

Qualifications

• SRE/ARE with 24x7 production operations experience.
• Experience in major incident management and service governance.
• Strong knowledge of AWS services and observability tooling.
• Proficient in automation, DevSecOps, and REST APIs.
• Proven ability to lead incident response and post-incident reviews.

Responsibilities

• Lead 24x7 SRE operations and incident response coordination.
• Improve reliability metrics (SLIs, SLOs, SLAs, MTTR).
• Drive end-to-end observability using Dynatrace, Grafana, CloudWatch, Splunk.
• Lead automation, AIOps, and AI-driven operations initiatives.
• Oversee AWS batch processes and Control-M environments.

Skills

SRE/ARE

Major Incident Mgmt

AWS proficiency

Observability tools

Automation & DevSecOps

GitLab CI/CD

Python automation

AIOps

Incident response

Education

Bachelor's degree in Computer Science

Tools

Dynatrace

Grafana

Splunk

CloudWatch

Docker

ECR

Bedrock

ServiceNow

Job description

Job Description

• 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.

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.

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.

Salary - $70,000 - $120,000 per annum.

Qualifications

BACHELOR OF COMPUTER SCIENCE