Senior SRE Lead: AWS DevOps for MLOps & AI Observability

Tata Consultancy Services; Malvern (Chester County); On-site; USD 155,000 - 170,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

401K Plan

Job summary

Tata Consultancy Services in Malvern, PA seeks an experienced SRE Lead to design and manage scalable, secure AWS cloud platforms using DevOps and IaC practices. You will drive reliability, incident response, and platform monitoring with CloudWatch, Prometheus, Grafana, and Arize-based observability.

The role requires 8+ years of experience, leadership skills, and strong collaboration with engineering, data, and ML teams to enable production-grade AI/GenAI solutions.

Qualifications

• Experience building scalable, secure AWS cloud platforms.
• Proficient in DevOps, SRE practices, and incident management.
• Strong CI/CD pipelines and monitoring/observability capabilities.

Responsibilities

• Lead SRE practices and ensure platform reliability through proactive monitoring and incident management.
• Collaborate with engineering, data, and ML teams to enable MLOps and AI observability.

Skills

Leadership

Stakeholder management

Cross-functional collaboration

Effective communication

Agile delivery

Incident management

Education

Bachelor of Computer Science

Tools

AWS Cloud

Terraform

CloudFormation

Ansible

Jenkins

GitHub Actions

GitLab CI/CD

CodePipeline

Docker

Kubernetes

EKS

Helm

Prometheus

Grafana

Datadog

ELK Stack

OpenTelemetry

Arize

Python

Bash

PowerShell

SQL

IAM

Secrets Manager

Security Hub

Jira

Job description

Tata Consultancy Services in Malvern, PA seeks an experienced SRE Lead to design and manage scalable, secure AWS cloud platforms using DevOps and IaC practices. You will drive reliability, incident response, and platform monitoring with CloudWatch, Prometheus, Grafana, and Arize-based observability.

The role requires 8+ years of experience, leadership skills, and strong collaboration with engineering, data, and ML teams to enable production-grade AI/GenAI solutions.