Role Overview:

Ensures reliability, scalability, and performance of systems across any cloud platform. Focuses on observability, incident management, and automation.

Key Responsibilities:

- Manage infrastructure on AWS, Azure, or GCP.
- Implement IaC using Terraform and Deployment Manager.
- Build CI/CD pipelines using GitHub Actions and other tools.
- Containerize and orchestrate workloads using Docker and Kubernetes.
- Automate tasks using Linux, Bash, and Python scripting.
- Monitor systems using Kibana, Splunk, New Relic, and APM tools like Grafana, Dynatrace, AppDynamics, Datadog.
- Define and manage SLIs/SLOs, error budgets.
- Work with ITSM/ITIL processes, ticketing tools like JIRA, ServiceNow.
- Handle production support, release management, and chaos engineering.
- Use tools like LitmusChaos or Gremlin for resilience testing.
- Integrate PagerDuty or Opsgenie for automated escalation.




- Automate deployment gates based on SLO compliance.
- Use predictive analytics for scaling decisions.
- Implement zero-trust principles and vulnerability management.

Must-Have Skills:

- Multi-cloud experience (AWS, Azure, GCP).
- Terraform and Deployment Manager.
- GitHub Actions and CI/CD tools.
- Docker and Kubernetes.
- Linux, Bash, Python scripting.
- Monitoring and APM tools (Splunk, Grafana, Dynatrace, Datadog, etc.).
- SLI/SLOs, error budgets, ITSM/ITIL, ticketing tools.

Valuable-to-Have Skills:

- Ansible, Helm, OpenShift.
- OpenTelemetry, Jaeger for distributed tracing.
- Service mesh and global load balancing strategies.
- Integrate CI/CD with ITSM for automated change records.

📌 SRE (Telangana)
🏢 Capgemini
📍 Telangana