Sr. Software Engineering Manager

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.

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.

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.

The successful candidate will demonstrate strength in the following competencies as well as foundational competencies which can be found here :

Strategic Insight – Connects work to business strategy and impact.

Executive Presence & Influence – Communicates confidently to influence key stakeholders.

Constructive Conflict Resolution – Addresses conflict directly and productively.

Leadership Courage & Candor – Provides honest feedback and addresses issues directly.

Operational Discipline – Sets clear goals and tracks performance.

Organizational Navigation – Navigates the organization to advance priorities.

Team Effectiveness & Cohesion – Builds collaborative, high-performing teams.

This job description is not an exclusive or exhaustive list of all job functions that a workforce member in this position may be asked to perform. Duties and responsibilities can be changed, expanded, reduced, or delegated by management to meet the business needs of the company.

The compensation offered to the successful candidate will be based on a variety of factors, including but not limited to, the candidate’s work experience, education and licenses, work-related training, key skills, the core duties of the role and its associated responsibilities, additional benefits offered, and the location where the work will be performed.