System Reliability Engineer

2 weeks ago

Hyderabad, India ANSR Full time
TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.
TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. TMUS India Private Limited is a subsidiary of T-Mobile US, Inc. and operates as TMUS Global Solutions.

The Site Reliability Engineer ensures digital systems are reliable, resilient, and scalable. This role automates operational processes, reduces manual intervention, and strengthens incident response across complex environments. With expertise in infrastructure, scripting, cloud services, and observability, the Site Reliability Engineer is essential to maintaining system uptime and delivering continuous improvements in performance and deployment workflows.

Implement proactive monitoring and maintenance to prevent incidents
Streamline CI/CD and development-to-deployment workflows
Develop tools and scripts that reduce manual operational efforts
Respond to incidents, manage root cause analysis, and minimize service disruption
Continuously research and adopt new technologies for performance gains
Partner with cross-functional teams to improve end-to-end system performance
Support other duties and technical projects as required by leadership

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
~2–5 years of experience in SRE, DevOps, or cloud-native infrastructure roles
~ Experience with cloud-native platforms and technologies (e.g., AWS, Azure, GCP)
~ Python, Bash) and systems troubleshooting
~ Knowledge of Agile principles and automation best practices
~ Certifications (preferred): CKA, AWS DevOps Engineer, SRE Foundation

Hands-on experience with Monitoring & Observability tools such as Prometheus, Grafana, Dynatrace, Datadog, or Splunk for system health, application metrics, and alerting.
Strong expertise in automation scripting using Python, Bash, or Perl to streamline operational workflows and reduce manual intervention.
Practical experience with DevOps practices and CI/CD tools like Jenkins, GitLab CI , ensuring automated and reliable software delivery pipelines.
Proficiency in Infrastructure as Code (IaC) using tools such as Terraform, AWS CloudFormation, or Pulumi for scalable cloud provisioning.
Solid understanding of cloud platforms — AWS or Azure —with experience managing cloud-native applications and infrastructure.
Deep knowledge of containerization and orchestration using Docker and Kubernetes , including managing deployments and scaling services.
Exposure to performance tuning and optimization , especially at the API layer , to improve system responsiveness and reliability.

Experience with chaos engineering or resilience testing
Familiarity with service mesh (Istio, Linkerd), edge proxies, or policy engines.
Exposure to SRE metrics (SLOs, SLIs, Error Budgets) and golden signals monitoring.

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