Senior Software Engineering Manager

Essential Duties & Responsibilities:

People and Team Leadership:

• Lead two cross-functional engineering teams delivering scalable, cloud-native products and platform capabilities.
• Recruit, coach, and develop team members through clear expectations, timely feedback, performance management, career development, and talent reviews.
• Foster an inclusive, psychologically safe culture of ownership, accountability, collaboration, and continuous improvement.
• Build effective partnerships with global teams across locations, cultures, and time zones.
• Product Delivery Partner with Product Management, UX, Architecture, GIS, AI, and Platform teams to translate customer and business priorities into executable plans
• Lead roadmap and release delivery, balancing commitments with quality, technical health, and customer value.
• Use engineering, product, and operational metrics to improve predictability, quality, and team effectiveness.
• Proactively manage and communicate delivery risks, dependencies, and tradeoffs.

Technical Leadership:

• Provide technical direction for cloud-native applications, distributed systems, APIs, data pipelines, and scalable web platforms.
• Oversee architecture and solution reviews to ensure designs are secure, reliable, observable, maintainable, scalable, and cost-effective.
• Guide technical planning, integration decisions, and responsible technical-debt management.
• Lead the delivery of interactive mapping, imagery, geospatial analytics, and 2D and 3D visualization capabilities.

AI and Engineering Excellence:

• Drive responsible adoption of AI-assisted development across both teams, including coding, testing, documentation, automation, and design activities.
• Coach team members on effective AI practices and measure their impact on engineering quality and productivity.
• Champion automated testing, CI/CD, Secure SDLC, DevSecOps, observability, reliability, and production readiness.
• Promote continuous improvement through engineering metrics, retrospectives, operational reviews, and shared learning.
• Cloud Governance and Operational Efficiency Ensure the teams’ AWS solutions comply with company standards for architecture, security, privacy, resilience, and cloud governance.
• Monitor cloud usage and cost and drive cost-conscious architectural and operational decisions.
• Partner with Platform, Security, FinOps, and Architecture teams to improve deployment automation, platform reliability, developer experience, and cost efficiency. Perform other duties as assigned.

Required Experience:

• Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience.
• 10 or more years of software engineering experience, including at least 3 years leading and developing engineering teams.
• Demonstrated success recruiting, coaching, developing, and managing the performance of software engineers.
• Experience leading cross-functional teams delivering and operating cloud-native, highly available enterprise applications.
• Strong technical and architectural judgment across distributed systems, APIs, data-intensive applications, and modern web technologies.
• Experience overseeing architecture and solution reviews with a focus on security, reliability, scalability, maintainability, observability, and cost efficiency.
• Experience translating product strategy and customer needs into technical plans, delivery milestones, and measurable outcomes.
• Experience improving software quality and delivery through modern engineering practices, operational metrics, and continuous improvement.
• Experience adopting AI-assisted development tools or other engineering productivity practices with appropriate attention to quality, security, privacy, and responsible use.
• Strong communication and stakeholder-management skills, including the ability to explain technical decisions, risks, and tradeoffs.
• Experience collaborating with distributed, global teams in an agile product-development environment.

Preferred Experience:

• Experience leading teams that build geospatial, mapping, imagery, analytics, or data visualization products.
• Familiarity with GIS concepts, spatial data, geospatial APIs, and interactive 2D or 3D visualization.
• Experience with AWS, Kubernetes, serverless, or event-driven architectures.
• Experience improving delivery and operations through CI/CD, infrastructure as code, observability, DevSecOps, and reliability engineering.
• Experience scaling AI-assisted development practices across engineering teams.
• Familiarity with LLM-assisted development, context engineering, agentic workflows, retrieval augmented generation (RAG), or Model Context Protocol (MCP).
• Experience managing cloud governance, usage, and cost optimization in partnership with Platform, Security, Architecture, or FinOps teams.
• Experience working in complex enterprise environments with global teams, multiple platforms, and cross-team dependencies.