Senior Software Engineer - SRE

T-Mobile•Atlanta, GA

1d•$113,600 - $205,000

About The Position

This role leads the design, development, testing, implementation, and operation of secure, scalable, resilient, and highly available software platforms using Site Reliability Engineering and AI-native engineering practices. The engineer collaborates across technical teams to build and support cloud-native, containerized, and distributed systems while owning production reliability, monitoring, incident response, CI/CD, deployment stability, vulnerability remediation, and operational automation across a growing portfolio of enterprise applications. The role designs and implements Terraform-based infrastructure-as-code and drives enterprise standardization for capabilities such as certificate lifecycle management, secrets management, and Vault solutions. It also applies AI-assisted development, intelligent automation, and automated testing to reduce manual engineering effort, improve software quality, and support the reliable operation of AI-enabled services. Success is measured by improved availability, reduced incidents and recovery time, secure and maintainable solutions, faster delivery, and greater operational efficiency. This position provides technical leadership for the SRE team, strengthens the India GCC capability, and establishes reusable engineering standards that reduce risk, improve engineering productivity, and enable scale.

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field
4-7 years Technical engineering experience
Site Reliability Engineering and production operations: Experience owning reliability, availability, monitoring, incident response, root-cause analysis, and operational readiness for production services.
Infrastructure-as-code and automation: Hands-on design and implementation using Terraform and scripting/programming such as Python, PowerShell, and JavaScript/Node.js.
Cloud-native platforms and containers: Hands-on experience with AWS and/or Azure, Docker, Kubernetes, platform services, performance, capacity, and cost awareness.
CI/CD and deployment engineering: Experience building secure, repeatable pipelines, automated testing, release validation, rollback, and deployment controls.
Secure platform operations: Experience with vulnerability and configuration remediation, IAM, certificate lifecycle management, secrets management, and Vault solutions.
Observability and reliability practices: Experience with logging, metrics, tracing, alerting, dashboards, SLIs, SLOs, error budgets, and service health reporting.
AI-enabled services and engineering workflows: Experience supporting AI-enabled services or applying AI-assisted development, testing, automation, LLM, RAG, embeddings, or anomaly-detection capabilities.
Analytical Thinking (Required)
Technical leadership and communication: Ability to lead SRE standards, mentor distributed teams, strengthen GCC capabilities, communicate clearly, and collaborate across cybersecurity and engineering teams.
Analytical Thinking
Analytics
Collaboration
Communication
Customer Service
Mentorship
Programming Languages
Software Design
Software Development
System Integration
Technical Writing
At least 18 years of age
Legally authorized to work in the United States

Responsibilities

Lead SRE architecture, engineering innovation, and standardization across cloud platforms, containers, deployment patterns, certificate lifecycle management, secrets management, and Vault solutions.
Integrate AI-native development practices, automation frameworks, modern software architectures, and emerging technologies to improve scalability, efficiency, and software delivery performance, while leading and mentoring the broader SRE team and strengthening the India GCC capability through technical guidance, knowledge transfer, engineering reviews, and consistent operational practices.
Maintain clear technical documentation, runbooks, automated knowledge artifacts, architecture decisions, and reusable implementation patterns to improve supportability and collaboration.
Own production reliability and engineering for enterprise applications, including monitoring, observability, incident response, root-cause analysis, service recovery, performance, capacity, and operational readiness.
Design, develop, automate, test, and optimize software solutions using Terraform-based infrastructure-as-code, CI/CD improvements, AI-driven development workflows, intelligent automation, and modern testing frameworks to reduce manual effort, improve engineering productivity, accelerate delivery, and ensure high-quality releases.
Contribute to design innovations that improve systems, processes, or services using new frameworks and industry best practices
Collaborate with technical teams to deliver solutions and mentor others through knowledge sharing and training sessions
Support technology strategy by evaluating and applying current technologies that align with business goals
Create clear documentation for software code, system designs, and business requirements to support knowledge sharing
Also responsible for other duties/projects as assigned by business management as needed