Tata Consultancy Services
SRE with Ansible, Python and Kubernetes
Skills
14 days ago
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Important information
Contract type:
Permanent
Salary:
₹500,000 – ₹1,500,000 / year
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
6 October 2026
What they need
Required Technical Skill Set**
SRE with Ansible, Python and Kubernetes
Desired Experience Range**
6 to 10 Yrs
5
Location of Requirement
Chennai
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
(Ideally should not be more than 3-5)
Strong hands-on with Kubernetes (deployment, scaling, RBAC, networking, Helm/Kustomize)
Ansible for configuration management, automation, and infra as code
Python for tooling, automation, and platform integrations
Expertise in Linux, networking (DNS, TCP/IP, HTTP), and shell scripting
Observability: logging/metrics/tracing (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry)
CI/CD pipelines (GitLab/GitHub Actions/Azure DevOps/Jenkins) and GitOps workflows (e.g., Argo CD)
Experience running production systems with oncall support and incident response
Good-to-Have(Ideally should not be more than 3-5)
Cloud platforms: AWS (EKS/AKS/GKE), Terraform/Pulumi
Service meshes (Istio/Linkerd), Ingress/Nginx/Envoy, API gateways
Security basics: secrets management, image scanning, Kubernetes security (OPA/Gatekeeper/Kyverno)
Message brokers/streaming: Kafka/RabbitMQ; caches: Redis
Cost optimization, capacity planning, performance tuning
Familiarity with SRE practices: SLOs/SLIs, error budgets, runbooks, postmortems
SN
Responsibility of / Expectations from the Role
1
Design, build, and automate reliable Kubernetes platforms using Ansible & Python
Implement observability, alerting, and runbooks; drive SLO/SLI adoption and incident response
Develop reusable automation/tooling for provisioning, deployments, and day2 ops
Maintain secure, scalable, and costefficient infrastructure across environments
Collaborate with Dev/Platform teams to improve resilience, performance, and release velocity
Lead root-cause analysis and continuous improvement via postmortems and chaos testing
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