Software Engineering Manager (UI)

Responsibilities

• Lead and manage a team of 3–5 software engineers, providing mentorship, performance feedback, and career development.
• Contribute as a hands-on engineer (~50% of the time), writing production code, participating in code reviews, and owning key technical deliverables.
• Own system design and architecture for your teams’ domains, creating clear, precise, and testable technical specifications.
• Establish and uphold engineering standards across code quality, testing, documentation, and security—particularly for systems interacting with physical infrastructure.
• Guide engineers in effectively leveraging AI-assisted development tools, ensuring high-quality output and maintaining full ownership of delivered systems.
• Partner closely with product managers and subject matter experts to translate complex domain requirements into scalable, maintainable technical solutions.
• Conduct regular 1:1s and performance reviews, fostering a strong engineering culture focused on accountability, growth, and continuous improvement.
• Collaborate with peer engineering leaders to align on technical strategy, manage cross-team dependencies, and drive execution across the broader organization.

Requirements

• 10+ years of software engineering experience, with a demonstrated progression in system design and architectural ownership.
• Proven experience leading engineering teams, including hiring, performance management, and career development of direct reports.
• Strong software design and architecture skills, with the ability to decompose complex systems, clearly document decisions, and produce precise, testable specifications.
• Hands-on proficiency in Python and TypeScript, with the ability to write, review, and reason about production code; familiarity with React-based front-end development.
• Experience building and operating cloud-native systems on Microsoft Azure, including containerized applications (Kubernetes) and modern CI/CD pipelines.
• Active use of AI-assisted development tools in day-to-day workflows, with the ability to critically evaluate outputs and guide others in their effective use.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Ability to travel up to 10%.

Preferred Qualifications

• Experience building or operating software platforms in energy, utilities, or data center infrastructure environments.
• Hands-on experience with Azure AI Foundry or similar platforms for developing and deploying AI-powered applications.
• Experience designing or operating systems with governance controls or human-in-the-loop workflows, especially in safety-critical contexts.
• Proven ability to lead multiple small, concurrent teams rather than a single large team.
• Familiarity with OT/IT integration, edge computing, and industrial protocols such as Modbus, BACnet, or OPC-UA.