About the Role:

Tax Technology Solutions operates business-critical tax platforms across multi-cloud and on-prem environments, integrating with billing, ERP, and financial systems. System availability, accuracy, and compliance directly impact enterprise operations.

We pride ourselves on encouraging a culture of innovation, agile ways of working, and transparency in all we do. Join us in embodying the spirit of the Un-carrier and make a tangible impact!

What Youll Do:

- The Senior Engineer, Systems Reliability is responsible for defining and advancing the reliability, resilience, and operational maturity of T-Mobile's Tax Technology platforms.
- Define and govern SLOs, SLIs, and reliability standards across tax systems.
- Design resilience strategies (failover models, scaling patterns, high availability architecture).
- Provide reliability-focused design input into application and cloud architecture decisions to ensure long-term system resilience.
- Define observability strategy, standards, and SLO-aligned monitoring frameworks to support reliability objectives.
- Identify and proactively mitigate system reliability risks across cloud and hybrid architectures, including failure modes, scaling behavior, and resilience patterns.
- Define and drive reliability automation strategy, identifying opportunities to reduce systemic risk and operational toil across platforms.
- Lead major incident command efforts and establish post-incident remediation standards.
- Own compliance governance for production systems and partner with audit teams to ensure regulatory readiness.
- Oversee vulnerability management prioritization and long-term remediation strategy.

What Youll Bring:

- 7+ years of experience in SRE or reliability engineering.
- Experience with Linux/Unix systems and automation/scripting.




- Experience designing reliability patterns in cloud-native environments leveraging containerization and orchestration platforms.
- Proven experience improving system availability and performance using observability tools and performance tuning techniques.
- Robust incident leadership experience.
- Experience in compliance-heavy or regulated environments preferred.
- Ability to influence engineering and architecture decisions without direct authority.
- Experience using AI-assisted tooling for incident analysis, log insights, and reliability optimization.

Must Have Skills:

- Experience designing reliability patterns in cloud-native and hybrid systems.
- Strong experience with cloud platforms (AWS preferred).
- Hands-on experience with containerization and orchestration (Docker, Kubernetes).
- Experience building and operating CI/CD pipelines (GitLab or equivalent).
- Experience implementing observability and monitoring solutions (metrics, logging, tracing).
- Experience leveraging AI/ML-powered tools for incident analysis, anomaly detection, and improving system reliability (AIOps).

Nice-to-Have:

- Experience with observability tools such as Splunk, Grafana, or OpenTelemetry.
- Experience with progressive delivery strategies (Blue/Green, Canary deployments).
- Experience with auto-scaling and performance optimization in cloud environments.
- Familiarity with relational databases (PostgreSQL, SQL Server, RDS).
- Understanding of secure system design (TLS, JWT, secrets management).
- Experience integrating AI/ML into observability or operations platforms (e.g., AIOps, anomaly detection, predictive alerting).
- Familiarity with LLM-based tools for code generation, runbook automation, or incident triage.
- Exposure to AI-driven automation frameworks or copilots in engineering workflows.
- Experience supporting regulated enterprise systems such as indirect tax engines or ERP-integrated platforms (Vertex O-Series a plus).
- Experience in compliance-driven environments and control frameworks.

📌 Sr Engineer, Site Reliability (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad