Senior Manager Software Engineering - Remote

UnitedHealth Group•Eden Prairie, MN

4d•$112,700 - $193,200•Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. As a Senior Manager of Software Engineering within Global Technology Services, you will lead the engineering and evolution of Optum’s End User Experience Observability capabilities. This role is responsible for building and operating platforms that provide actionable insight into the performance, availability, and reliability of critical technology services from the user’s perspective. You will lead engineering across network and digital experience observability, using a broad and evolving ecosystem of telemetry, synthetic monitoring, packet analytics, and experience-monitoring technologies. The ideal candidate brings deep network domain expertise, a solid understanding of telemetry and observability, and hands-on experience with synthetic monitoring and business transaction testing. Experience with platforms such as NetScout nGeniusONE, NetScout nGeniusPULSE, Cisco ThousandEyes, or comparable technologies is highly relevant, but success in this role requires the ability to evaluate, integrate, and adopt new observability capabilities as the technology landscape evolves. You will work closely with Network Engineering, Network Operations, application and infrastructure teams, and AI Operations to turn high-quality telemetry into actionable intelligence, improve detection and diagnosis, enable automation, and advance proactive service assurance. You will combine platform engineering, operational leadership, and solid cross-functional partnership to improve reliability and end-user experience at enterprise scale. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Requirements

Undergraduate degree or 15+ years of equivalent technology experience
15+ years of experience in Network Engineering, Network Operations, observability, or related enterprise infrastructure disciplines
10+ years of experience and deep understanding of enterprise networking, including TCP/IP, DNS, routing, latency, packet loss, jitter, application response time, and service-path troubleshooting
10+ years of hands-on experience with enterprise observability, digital experience monitoring, network performance monitoring, or synthetic monitoring platforms
10+ years of experience with technologies such as NetScout nGeniusONE, NetScout nGeniusPULSE, Cisco ThousandEyes, or comparable enterprise platforms
10+ years of experience translating complex technical issues into clear operational and business impact
10+ years of experience communicating effectively and providing stakeholder management across engineering, operations, vendors, and senior leadership
5+ years of experience with network telemetry, packet-based analytics, and observability in large-scale enterprise environments
5+ years of experience with synthetic monitoring, synthetic transactions, and business transaction testing
5+ years of experience correlating multiple telemetry sources to isolate the source of service degradation and user-impacting issues
5+ years of experience developing automation and platform integrations using Python, APIs, and/or Ansible
5+ years of experience leading engineering teams responsible for enterprise-scale platforms or services
5+ years of experience evaluating new technologies, assess architectural fit, and evolve platform capabilities as business and technology requirements change

Nice To Haves

Experience with Digital Experience Monitoring, End User Experience Monitoring, Network Performance Monitoring, Application Performance Monitoring, or broader enterprise observability platforms
Experience deploying and operating observability technologies at enterprise scale across multiple vendors and technology domains
Experience working with AIOps, event intelligence, anomaly detection, event correlation, or automated remediation capabilities
Experience designing synthetic test strategies for critical applications and user journeys
Knowledge of enterprise WAN, SD-WAN, campus, data center, cloud, Internet, SaaS, and hybrid network environments
Experience integrating observability platforms with incident, event management, automation, and service management ecosystems
Experience with GitHub Actions and CI/CD practices for infrastructure and platform engineering
Experience establishing observability governance, telemetry standards, and service-level indicators
Experience operating platforms in regulated or highly controlled environments
Solid understanding of secure engineering, auditability, least privilege, and production change management
Demonstrated ability to lead effectively across globally distributed teams and during critical service events

Responsibilities

Lead the engineering, delivery, and operational maturity of enterprise End User Experience Observability platforms and services
Define and execute an observability strategy that connects network, application, synthetic, and service-path telemetry into actionable insights
Engineer, integrate, and optimize observability capabilities across a diverse and evolving technology ecosystem
Evaluate emerging observability technologies and determine where new capabilities can improve visibility, automation, scalability, or operational outcomes
Design and scale synthetic monitoring and business transaction testing to proactively validate critical user journeys and services
Establish telemetry standards, monitoring coverage, performance baselines, dashboards, and alerting practices that improve detection and diagnosis
Enable rapid isolation of performance issues across network, application, infrastructure, cloud, Internet, and third-party services
Partner with the AI Operations team to provide high-quality telemetry and event context that supports correlation, anomaly detection, automation, intelligent triage, and proactive service assurance
Develop automation and integrations using Python, APIs, Ansible, GitHub, and CI/CD practices to improve platform scalability and operational efficiency
Partner with Network Engineering, Network Operations, application, cloud, infrastructure, and service management teams to improve observability across the technology ecosystem
Drive signal quality by reducing noise, improving alert fidelity, and ensuring operational teams and downstream AIOps capabilities receive meaningful, actionable data
Establish operational readiness, governance, resiliency, security, and lifecycle standards for observability platforms
Lead vendor engagement and technology strategy across observability and digital experience platforms
Develop engineers and technical leaders while promoting solid engineering, automation, and operational practices
Communicate platform performance, service risks, technical findings, and strategic priorities to senior technology leaders and executive stakeholders