DevOps (SRE) Engineer

Tata Consultancy Services; Hyderabad, Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Tata Consultancy Services in Hyderabad is seeking an experienced DevOps/SRE specialist to drive cloud-native data analytics transformations. The role requires hands-on work with AWS and Azure, Terraform, Ansible, and CI/CD pipelines to deliver scalable data lakes and warehouses.

You will optimize performance, implement security frameworks, and automate cloud platform operations while collaborating with cross-functional teams to accelerate deployments and governance.

Qualifications

• 4+ years in IT services with 2+ years hands-on DevOps/SRE in cloud-native analytics.
• Hands-on with Terraform, Ansible, AWS CloudFormation in production.
• Experience with CI/CD pipelines, centralized observability, and cloud platform automation.

Responsibilities

• Collaborate on data lake and data warehouse modernization using cloud-native services.
• Design and implement IaC patterns for cloud migrations and automation.
• Build and maintain CI/CD pipelines for data processing workloads.
• Ensure security across cloud platforms and data pipelines (DevSecOps).
• Optimize performance, scalability, and cost for data analytics workloads.
• Implement and tune monitoring, logging, and tracing across environments.

Skills

Python

SQL

Spark

CI/CD

DevOps

SRE

Tools

Terraform

Ansible

AWS CloudFormation

Jenkins

Azure DevOps

CodeCommit

Job description

Role & responsibilities

• 4+ years of overall experience in IT services with 2+ years of Strong hands-on experience and understanding with devops (SRE) cloud-native services (AWS, Azure) in data analytics landscape covering big data lakes and data warehouses
• Experience with cloud migration patterns especially with CSP data platform adoption - must have passion about IaC coding and Cloud Platform automation.
• Hand on experience with Terraform, Ansible, AWS CloudFormation in production environments.
• Knowledge of AWS Cloud networking (VPC/Endpoints, VPN, Transit Gateway, Direct Connect, route 53, Code Commit.
• Experience implementing and designing cloud native security frameworks, DevSecOps pipeline, CI/CD Pipeline and Centralized Observability (Alerting, monitoring, tracing).
• Knowledge of AWS Cloud networking (VPC/Endpoints, VPN, Transit Gateway, Direct Connect, route 53, AWS Code build and AWS Code Commit
• Experience in estimation methodology for data on cloud transformations
• Experience in systems scalability and performance optimization.
• Experience with continuous integration tools (Jenkins, AWS DevOps, Azure DevOps etc.) Proficiency in Python, SQL, and Spark for data transformation and processing.
• Experience with data modeling, data warehousing, and big data architectures.
• Familiarity with Azure DevOps, CI/CD pipelines, and version control.