Manager, Software Development

T-Mobile • Bellevue, WA

15d

About The Position

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees! Job Overview: We are looking for an innovative and technically strong Manager to lead our Tier 3 Support and Platform Engineering teams for the T-Life application ecosystem. This leader will own the stability, scalability, and security of the platform while driving AI-enabled transformation across engineering operations and production support. The ideal candidate will combine deep technical expertise, strong operational discipline, and a forward-looking mindset to lead 30-50 engineers including Full Time and Contractors in modernizing how we manage, maintain, and evolve our systems using artificial intelligence and automation.

Requirements

• Bachelor’s degree in computer science, Engineering, or related field
• 8+ years of experience in engineering, platform operations, or production support
• 3+ years in a leadership role managing technical teams
• Strong technical background in Kubernetes , cloud infrastructure , automation , and CI/CD pipelines
• Experience applying AI/ML or automation tools in an operational context (e.g., anomaly detection, log analysis, intelligent alerting)
• Proven track record of driving cultural and technical transformation across diverse engineering teams
• At least 18 years of age
• Legally authorized to work in the United States

Nice To Haves

• Master’s degree or certifications in Cloud Engineering, DevOps, or AI/ML technologies
• Hands-on familiarity with AIOps , observability stacks , and machine learning for operations
• Strong understanding of microservices, security, and distributed systems
• Excellent communication, stakeholder engagement, and change management skills

Responsibilities

• Lead, coach, and develop Tier 3 Support and Platform Engineering teams with an emphasis on technical excellence, collaboration, and innovation
• Foster data- and AI-driven culture —encouraging experimentation, automation, and continuous improvement
• Build engineering capability around AI/ML tools , intelligent monitoring , and predictive analytics for operational efficiency
• Manage staffing, performance, and professional development aligned with T-Life’s strategic priorities
• Oversee and continuously improve the production issue triage, diagnosis, and resolution process
• Integrate AI-assisted root cause analysis, anomaly detection , and predictive incident prevention capabilities
• Ensure SLAs and MTTR goals are consistently met through smart alerting, automation, and data-driven insights
• Partner closely with Tier 2 and T-Life Development teams to implement permanent, AI-informed fixes and optimizations
• Lead the design, maintenance, and evolution of the Kubernetes Conductor Platform Hosting T-Life microservices
• Ensure high availability, scalability, and security across all environments
• Drive automation-first principles in CI/CD, configuration management, and observability
• Champion the use of AI Ops tools to optimize resource allocation, detect anomalies, and predict infrastructure needs
• Partner with T-Life Data Science, AI, and DevOps teams to develop AI-powered tools that enhance operational visibility, ticket triage, and support workflows
• Evaluate and integrate GenAI solutions (e.g., chatbots for support engineers, intelligent code diagnostics, or documentation assistants)
• Establish KPIs and success metrics for AI adoption and efficiency gains across the support and platform ecosystem
• Lead internal pilots and proof-of-concepts to bring measurable improvements in productivity, cost reduction, and response time
• Implement continuous improvement programs using data analytics and AI insights
• Define and maintain clear dashboards for uptime, performance, and reliability metrics
• Strengthen incident management, change control, and observability practices
• Ensure compliance with T-Mobile’s standards on security, privacy, and data governance
• Serve as a key liaison between Development, Operations, Security, and Product teams
• Communicate production health, AI initiatives, and improvement strategies to senior leadership
• Contribute to release planning, architecture discussions, and platform modernization efforts

Benefits

• medical, dental and vision insurance
• a flexible spending account
• 401(k)
• employee stock grants
• employee stock purchase plan
• paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually
• paid parental and family leave
• family building benefits
• back-up care
• enhanced family support
• childcare subsidy
• tuition assistance
• college coaching
• short- and long-term disability
• voluntary AD&D coverage
• voluntary accident coverage
• voluntary life insurance
• voluntary disability insurance
• voluntary long-term care insurance
• mobile service & home internet discounts
• pet insurance
• access to commuter and transit programs

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees