Job Overview
This role leads engineering teams that design, build, and operate enterprise-grade applications and digital products within an Agile, automation-first delivery model. The teams work across the full stack-Java/Spring Boot, Angular/React, Python, APIs, and data-enabled platforms-and increasingly leverage agentic AI workflows (autonomous code generation, AI-assisted testing, intelligent pipeline orchestration) to multiply velocity and reduce manual toil. This is a people-leadership role with an engineering backbone-the Sr Manager sets technical direction, makes architecture trade-off decisions, coaches engineers, and holds the quality bar, but spends the majority of time leading teams rather than writing production code. Success is measured by delivery throughput, team health and retention, engineering cycle time reduction, and the ability to run a lean organization that ships more with less through smart automation. The work directly impacts T-Mobile's product velocity, customer experience, and operational scalability..

Job Responsibilities

• Lead and manage cross-functional engineering teams (software engineers, QA, DevOps, data engineers, product managers) to deliver enterprise applications-providing technical direction, architecture guidance, coaching, and performance management
• Build and evolve an agentic AI capability within the engineering org-standing up AI-assisted workflows (automated code generation, test creation, Jira-to-MR pipelines) that reduce cycle time and free engineers for high-judgment work
• Define and drive continuous improvement and engineering excellence-CI/CD pipeline optimization, automated quality gates, tech debt management, and measurable productivity frameworks (DORA metrics, automation coverage)
• Own the technical roadmap in collaboration with architecture, platform engineering, cybersecurity, and design teams-balancing feature delivery, platform modernization, and automation investment
• Manage technical vendor relationships and evaluate emerging technology (AI/ML tooling, cloud-native platforms, data infrastructure) to keep the engineering stack current and competitive
• Recruit, hire, and develop engineering talent who bring strong full-stack fundamentals, a bias toward automation, and the ability to work effectively alongside AI-augmented toolchains

Education and Work Experience

• Bachelor's Degree and 7 years of related work experience or a combination of education and experience deemed equivalent Acceptable areas of study include Computer Science, Engineering, IT or equivalent experience. (Required)
• 7-10 years experience of developing large scale business systems applications. in an agile product development environment with an engineering background across the modern stack (Java, Python, JavaScript/TypeScript, APIs, databases)
• 2-4 years People leadership managing cross-functional engineering teams (5+ engineers in direct reporting relationships)-including hiring, performance management, career development, and org design((Required)
• 2-4 years applying AI/ML concepts or LLM-based tools in production environments; able to evaluate architectures and lead AI-augmented delivery (Preferred)
• 2+ years driving delivery excellence through process improvement, automation, and measurable gains in velocity (e.g., cycle time, deployment frequency, reduced toil))(preferred)
• 2+ years working with big data platforms (e.g., Snowflake, Databricks, Spark, Kafka) and data pipeline operations (Preferred)
• 1+ year operating in cloud-native/Kubernetes environments with CI/CD and infrastructure-as-code(Preferred)
• 1+ year experience with API platforms, gateways, or developer ecosystems(Preferred)

Preferred Knowledge, Skills and Abilities

• Engineering Leadership & Talent Development
  Sets technical direction, makes sound architecture decisions, and leads design/code reviews. Builds and develops high-performing teams through strong hiring, coaching, and career growth practices.
• Full-Stack Fluency
  Working knowledge of modern application architectures (backend services, frontends, APIs, and data stores) sufficient to evaluate designs, unblock teams, and guide technical decisions.
• AI & Automation Strategy
  Understands agentic AI concepts, LLM integration, and automation patterns; able to lead AI adoption, define governance, and drive measurable business impact.
• Delivery Excellence (Agile, DevOps & Velocity)
  Proven ability to run high-output teams using Agile and DevOps practices, with a focus on automation, continuous delivery, and metrics such as DORA, cycle time, and throughput.
• Communication & Influence
  Effectively translates complex technical strategy for executive audiences and drives alignment across engineering, product, and platform team
• Data Platforms & Analytics
  Familiar with modern data ecosystems and pipeline design; able to partner with data teams and guide platform decisions.
• Cloud-Native & Kubernetes
  Working knowledge of containerized environments, CI/CD pipelines, and infrastructure-as-code; able to review deployments and troubleshoot with teams.
• API Ecosystems
  Exposure to API platforms, gateways, and developer portals within enterprise environments.
• Security & Compliance
  Understands enterprise security practices and integrates security into engineering workflows and automation.
• Observability & Reliability
  Familiar with monitoring and alerting tools; able to define SLOs and support a reliability-focused engineering culture.
• Engineering Metrics & Business Impact
  Uses productivity and quality metrics (e.g., DORA, MTTR, defect rates) to inform decisions and improve outcomes.

Preferred Licenses and Certifications

• Certified Scrum Master (CSM) or Scrum Product Owner (CSPO)
• Agile Certified Practitioner (PMI-ACP) or SAFe Agilist
• AWS / Azure / GCP Cloud certification (Solutions Architect, Developer, or equivalent)
• AI/ML certification (DeepLearning.AI, Google ML Engineer, AWS ML Specialty, or equivalent)

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No):

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Total Target Cash Earnings Opportunity: $192,000 - $346,200

National Base Pay Range: $160,000 - $288,500

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

The base pay range reflects the compensation component of this opportunity. The candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ350661¶dox=1

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.