Software Engineering, Manager

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.

• 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.