HYDERABAD · FULLTIME
Sr. Software Engineer
Tmobile
Hyderabad · onsite · Posted 51d ago
Sourced from
Not disclosed6–10 yrsfulltimeHyderabad
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Section · 01
About this role
The Senior Software Engineer is responsible for designing, building, deploying, operating, and continuously improving production software platforms that support consumer-facing AI applications and cloud-native services. This role follows an end-to-end software ownership model where engineers are accountable for the full software development lifecycle from architecture and implementation through deployment, production support, observability, and continuous improvement.
Working closely with AI Platform Engineers, Product Owners, Architecture, and Platform teams, this role develops reliable, scalable software while ensuring operational excellence across production environments. The ideal candidate is a strong software engineer with experience building cloud-native distributed systems and a willingness to own software in production.
Responsibilities:
- Design, develop, and maintain backend services, APIs, microservices, and cloud-native applications supporting AI platform capabilities.
- Own software throughout its lifecycle, including design, implementation, deployment, production support, monitoring, and continuous improvement.
- Build scalable, resilient, and secure distributed systems using modern software engineering practices.
- Collaborate with AI Platform Engineers to deliver production-ready platform services supporting conversational AI, agentic AI, and consumer-facing AI applications.
- Develop and maintain CI/CD pipelines that enable reliable, automated software delivery.
- Deploy and operate containerised applications using Kubernetes and cloud-native platforms.
- Participate in production support, troubleshooting, root cause analysis, and post-incident improvements.
- Implement application monitoring, logging, and observability practices to improve software reliability and operational visibility.
- Drive software engineering best practices through architecture discussions, code reviews, automated testing, and mentoring junior engineers.
- Partner with Platform Engineering teams to continuously improve reliability, scalability, security, and developer productivity.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience.
- 7+ years of software engineering experience building and operating cloud-native production software.
- Strong programming experience in Java, Python, or Go.
- Experience designing and developing distributed systems, microservices, REST APIs, and event-driven applications.
- Experience building cloud-native applications using Kubernetes and container technologies.
- Experience implementing CI/CD pipelines and automated software delivery practices.
- Experience supporting production software applications, troubleshooting complex issues, and driving operational improvements.
- Strong understanding of software architecture, scalability, resiliency, performance optimisation, and secure software development.
- Experience collaborating across distributed Agile engineering teams.
- Excellent communication, technical leadership, and mentoring skills.
Must-Have Skills:
- Software engineering leadership and technical mentoring
- Java, Python, or Go
- Distributed systems and microservices
- REST APIs and backend software architecture
- Cloud-native software development
- Kubernetes application deployment and operations
- CI/CD and software delivery automation
- Production software support and troubleshooting
- SDLC and Agile engineering practices
- Observability and application monitoring concepts
Nice to Have:
- Familiarity with Infrastructure-as-Code (Terraform or similar).
- Experience with monitoring and observability platforms such as Prometheus, Grafana, Splunk, Datadog, or OpenTelemetry.
- Familiarity with reliability engineering concepts including SLIs, SLOs, and error budgets.
- Experience supporting AI platforms, LLM-powered services, or conversational AI applications.
- Experience with Model Context Protocol (MCP), API gateways, or enterprise integration patterns.
- Experience working with Agentic AI platform teams or consumer-facing AI application teams.
Sourced from instahyre
Section · 02
Skills
GraphQLgRPCKubernetesapisPythonMicroservicesRest AssuredGITCi/CdDistributed Systemscloud nativeGolangREST APIJava
Section · Company
About Tmobile
Tmobile
1994
32 years old
Bellevue
United States
About
T-Mobile is a wireless telecommunications company that redefines the way consumers and businesses buy wireless services. The company is committed to transforming the way that consumers and businesses purchase and use wireless services by offering a range of flexible, affordable, and feature-rich plans. One of T-Mobile's key strategies is to challenge the traditional wireless carrier model by offering customers more choice and control over their wireless plans. The company has introduced a number of groundbreaking initiatives, including its "Un-carrier" program, which eliminates long-term contracts and provides customers with more transparent pricing and billing. T-Mobile has also invested heavily in expanding and improving its network coverage, which now covers more than 99% of the US population. The company's network has been recognized for its speed and reliability, and T-Mobile has received numerous awards for its wireless service quality. In addition to its consumer-focused offerings, T-Mobile has also developed a range of solutions designed to meet the needs of businesses of all sizes. These include wireless plans, mobile device management tools, and customized solutions for industries such as healthcare, transportation, and retail.