About The Position

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.

Requirements

  • 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)

Nice To Haves

  • 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)
  • 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.
  • 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)

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

Benefits

  • competitive base salary and compensation package
  • multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches
  • medical, dental and vision insurance
  • a flexible spending account
  • 401(k)
  • employee stock grants
  • employee stock purchase plan
  • paid time off
  • up to 12 paid holidays
  • 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
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