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TMUS Global Solutions
Sr Engineer, Systems Reliability - SRE [T500-27452]
TMUS Global Solutions
Hyderabad•On-site•6-9 Yrs•Jul 8
Job description
Overview
About TMUS Global Solutions:
Responsibilities
- Serve as technical lead and escalation point for complex, multi-system, or high-severity incidents across the portfolio.
- Mentor and develop the India SRE team through code review, pairing, and post-incident coaching.
- Drive the team's runbook and automation quality: set standards, identify gaps, and ensure completeness.
- Own blameless post-incident reviews for P1 and P2 incidents; identify and track systemic fixes through to resolution.
- Design and build the team's AI agent roadmap: identify workflows where agents can reduce toil, prototype agents, and establish patterns the team follows.
- Partner with the Domain Architect on architecture decisions that affect SRE operations; represent the operational team's perspective in design reviews.
- Contribute to hiring: participate in technical interviews for SRE candidates.
Qualifications
- 6–10 years of experience in SRE, software engineering, or technical platform operations - with a strong software development foundation.
- Deep cross-platform experience: you have operated and automated across multiple enterprise SaaS and cloud-native systems, not just one.
- Demonstrated technical leadership: you have led incident response, driven blameless postmortems, and influenced engineering practices across a team.
- Strong software engineering foundation; able to build production-quality automation and tooling, review others' code credibly, and set a quality bar.
- Track record of measurable toil reduction through automation, AI agents, or tooling investment.
- Excellent written communication; comfortable authoring architecture notes, RCA documents, and technical standards.
- Hands-on experience using AI tools (Claude, GitHub Copilot, or equivalent) to build, operate, and improve engineering workflows - and ability to lead others in doing the same.
- AI & agent tooling: Proficient in AI coding/automation assistants (Claude, Copilot, or equivalent). Able to design, build, and maintain AI agents for operational workflows; set team standards for agent design and quality; and lead adoption across the SRE team. Expected to be the team's AI tooling anchor.
- Scripting proficiency in Python, PowerShell, or Bash for production automation and tooling development.
- SQL proficiency for data validation, troubleshooting, and reporting.
- Working knowledge of multiple monitoring/observability platforms (Splunk, Datadog, AppDynamics, or similar); able to design monitoring strategy, not just configure dashboards.
- CI/CD pipeline experience (GitHub Actions, Jenkins, or similar) - sufficient to contribute fixes and evaluate DevOps work.
- Version control proficiency (Git); comfortable with branching strategies and PR review.
- Direct hands-on experience with Workday (HCM, Payroll, or Integrations) and/or UKG Pro WFM at the integration / operations level.
- Infrastructure-as-code familiarity (Terraform or CloudFormation).
- Familiarity with identity and access management workflows (SSO, SAML, SCIM).