MTS, Systems Architecture Engineering

• Develop and evolve technical network and service architectures and design strategies
• Improve and protect the software, infrastructure, and network systems that power T-Mobile’s IT and customer-facing services
• Ensure scalability, availability, performance, security, and reliability across applications and networks
• Proactively identify and prevent network issues before they impact customers
• Play a critical role in outage bridges, leveraging KPIs, telemetry, and AI-driven analytics to pinpoint problems
• Create new designs, architectures, and standards for delivering software and network services
• Improve scalability, latency, and efficiency of T-Mobile’s applications and network services
• Contribute to cloud enablement, containerization, and microservices reliability
• Manage improvement work, PoCs, and future automation projects
• Diagnose and resolve complex issues in routers, firewalls, load balancers, DNS, and global traffic managers
• Proactively forecast and address capacity and performance bottlenecks
• Provide network expertise on outage bridges
• Define standards and playbooks for fault prevention and outage handling
• Build and operationalize telemetry pipelines
• Develop AI/ML-driven models to detect anomalies and predict failures
• Create and maintain dashboards and health checks for real-time visibility
• Use Terraform and IaC to deploy and manage infrastructure and applications in AWS cloud
• Integrate reliability practices into CI/CD pipelines and DevOps workflows
• Define, measure, and optimize performance KPIs, SLIs, and SLOs across hybrid environments
• Lead engineering projects and team members
• Engage with vendor(s) or industry fellows to innovate procedures and processes
• Create, present, design, and implement new ideas
• Proactively investigate architecture, design strategies and standards options
• Contribute to industry or vendor forums
• Analyze industry trends and competitive moves
• Write advanced documentation, architecture, capabilities, limitations, and advantages for technologies
• Monitor and influence relevant industry technologies and standards
• Present highly technical concepts
• Continuously learn, create content, and facilitate training
• Informally coach and contribute to the development of others
• Influence and recommend technology and policy decisions
• Research and create new technology options to drive business transformation

• Master’s/Advanced degree in Computer Science, Engineering, or related field. Equivalent experience considered
• 7–10 years in system, network, or reliability engineering roles
• Deep expertise in network infrastructure (Cisco, Juniper, Check Point, F5, A10, Infoblox, BIND, DNS)
• Hands-on experience with observability tools: Dynatrace, ThousandEyes, SevOne, Splunk, ServiceNow AIOps, OTEL
• Proficiency with automation tools (Terraform, Ansible, Chef, Puppet) and cloud deployments (AWS preferred)
• Programming/scripting in Python, Go, or Shell
• Experience with CI/CD pipelines, Kubernetes, and containerized environments
• Communication
• Technical Writing
• Analytics
• Customer Service
• Strategic Thinking
• At least 18 years of age
• Legally authorized to work in the United States

Experience in AI/ML-based telemetry and predictive network analytics

• Competitive base salary and compensation package
• Annual stock grant
• Employee stock purchase plan
• 401(k)
• Access to free, year-round money coaches
• Annual bonus or periodic sales incentive or bonus
• Medical, dental and vision insurance
• Flexible spending account
• Paid time off and 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