As a Manager, Software Engineering, you will lead, scale, and inspire the teams building core digital products. This position plays a key role in supporting digital product delivery and engineering operations by modernizing engineering practices, improving developer productivity, strengthening operational excellence, and enabling teams to deliver high-quality software on a scale. The ideal candidate is a pragmatic, forward-thinking engineering leader who balances a people-first leadership philosophy with a strong focus on delivery, customer outcomes, accountability, collaboration, and continuous improvement.
In this role, you will:
- Mentor engineering leaders and individual contributors, fostering ownership, accountability and professional growth.
- Champion a product mindset by helping teams understand customer needs, measure outcomes, and solve meaningful user problems.
- Mature automated testing and deployment pipelines, improve development environments and tooling, and responsibly adopt AI-assisted engineering practices.
- Lead and coordinate cross-functional teams, including employees, contractors, and external development partners, to ensure alignment, quality, and delivery excellence.
- Establish lightweight governance and predictable delivery practices that enable speed, consistency, and proactive risk and dependency management.
- Drive reliability, availability, and operational readiness through observability, monitoring, incident management, and continuous improvement practices.
- Perform additional duties as assigned.
Required Qualifications
- Proven experience leading and scaling Agile software engineering organizations, including coaching senior engineers and technical leaders.
- At least 3 years of engineering leadership experience.
- Strong understanding of modern software development practices, cloud-native architectures, web technologies, APIs, and mobile application ecosystems.
- Experience building and operating reliable production systems with observability, monitoring, incident response, and service ownership practices.
- Experience evaluating and incorporating AI-assisted development tools and workflows into engineering practices.
Preferred Qualifications
Experience with Microsoft Azure.
Experience with C#, JavaScript, TypeScript, and React.
Experience with SQL and Snowflake.
Experience with Kotlin and/or Swift.
Experience with GitHub Actions and modern CI/CD platforms.
Experience with application monitoring and observability platforms.
Experience with DevEx analytics tools.
