What you will do:

- Design, develop, and maintain backend services, APIs, automation tools, and operational platforms.
- Build and maintain CI/CD pipelines.
- Develop infrastructure automation using Infrastructure-as-Code.
- Support deployment, monitoring, observability, and operational readiness.
- Implement logging, alerting, dashboards, and operational metrics.
- Support operational readiness and reliability of AI integration services, API platforms, and MCP-enabled workloads.
- Improve platform reliability, scalability, resiliency, and operational efficiency.
- Participate in incident response, troubleshooting, and root cause analysis.
- Contribute to automated testing, release management, and deployment automation.
- Support Kubernetes-based cloud-native workloads.

What You'll Bring

- Bachelor's degree or equivalent practical experience.
- 4-5 years of software engineering experience building and operating production systems.
- Solid proficiency in Python, Java, or similar languages.
- Experience developing APIs, services, automation tools, or cloud-native applications.
- Experience with CI/CD, source control, automated testing, and software development lifecycle practices.
- Experience with monitoring,



logging, observability, and operational tooling.
- Experience operating applications in public cloud environments.
- Experience collaborating with distributed Agile engineering teams.
- Strong troubleshooting, debugging, and incident response skills.
- Ability to contribute to reliability and operational improvement initiatives.

Must Have Skills:

- Python, Java, or a similar programming language
- Backend services, APIs, and cloud-native application development
- CI/CD, source control, and automated testing
- Monitoring, observability, and operational tooling
- Public cloud operations and incident response

Nice-to-Have:

- Experience with Kubernetes and cloud-native infrastructure.
- Experience with Terraform or similar Infrastructure-as-Code tools.
- Familiarity with SLIs, SLOs, and error budgets.
- Experience supporting AI-enabled services or LLM platforms.
- Experience building internal operational platforms.
- Experience supporting AI platform services, API gateways, MCP integrations, agent-based architectures, or enterprise integration platforms.

📌 Engineer,Software (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad