
DevOps Engineer - Chennai, Hyderabad, Bangalore
Tata Consultancy Services
Mid-level
Not specified
Chennai, Bengaluru, India
Posted 1 month ago
Job summary
Join Tata Consultancy Services as a DevOps Engineer, where you'll design and manage cutting-edge infrastructure and CI/CD pipelines. Leverage your expertise in cloud platforms, automation, and containerization to drive scalability and reliability. This mid-level position offers an exciting opportunity to work on innovative projects in multiple locations across India.
Role details
- Industry
- Information Technology
- Employment
- Full Time
- Experience
- 4 Years +
Requirements
- Experienced DevOps Engineer with hands-on experience in designing, automating, and managing infrastructure and CI/CD pipelines
- Deep expertise in cloud platforms (AWS, Azure, or GCP)
- Strong expertise in CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions, Bamboo)
- Hands-on experience with Docker and Kubernetes in production environments
- Proficient with Terraform or CloudFormation for infrastructure automation
- Experience with Linux system administration and scripting (Bash, Python)
- Familiarity with monitoring and alerting tools (Prometheus, Grafana, Datadog, ELK, Splunk)
Key skills
Devops
Cloud Platforms
Aws
Azure
Gcp
Containerization
Configuration Management
Infrastructure As Code
Automation
Scalability
Reliability
Ci/cd Tools
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✓ Skills Match:
82%
✓ Experience:
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⚠️ Missing Keywords:
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- Devops
Desired Experience Range: 4 7 years
Location of Requirement: Chennai, Hyderabad, Bangalore, Bhubaneswar, Kolkata
Must\-Have:
Experienced DevOps Engineer with hands\-on experience in designing, automating, and managing infrastructure and CI/CD pipelines.
The ideal candidate will have deep expertise in cloud platforms (AWS, Azure, or GCP), containerization, configuration management, and infrastructure as code (IaC), with a strong focus on automation, scalability, and reliability.
Strong expertise in CI/CD tools: Jenkins, GitLab, GitHub Actions, Bamboo, etc.
Hands\-on experience with Docker and Kubernetes in production environments.
Deep knowledge of at least one major cloud platform: AWS, Azure, or GCP.
Proficient with Terraform or CloudFormation for infrastructure automation.
Experience with Linux system administration and scripting (Bash, Python, etc.).
Familiarity with monitoring and alerting tools: Prometheus, Grafana, Datadog, ELK, Splunk, etc.