Software Development Manager– (Payload SW), STAR (System Test Automation and Regression)

Job summary

DESCRIPTION Amazon Leo is Amazon's low Earth orbit satellite network delivering fast, reliable internet connectivity to customers beyond the reach of existing networks. Behind every satellite in our constellation is a payload - the communication system that makes connectivity possible.

Benefits

Qualifications

• You are not managing a generic software team.
• Export Control Requirement:
• 5+ years of Software Engineer, Software Developer, or related occupational experience
• 3+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience partnering with product or program management teams
• 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• Experience building test automation frameworks and
• Experience in communicating with users, other technical teams, and senior leadership to collect
• describe software product features, technical designs, and product strategy
• Experience defining and implementing process improvement initiatives using data and metrics
• Experience scaling an organization through rapid growth or expansion

Responsibilities

• You will own the people, strategy, and execution for a team of software development engineers working at the intersection of satellite communication systems and test automation.
• You will set technical direction, remove obstacles, hire and develop talent, and drive operational excellence for nightly regression runs that gate satellite production and launch readiness.
• Lead, hire, and develop a team of software development engineers building test automation for payload software.
• Set technical direction and own the roadmap for payload test automation—decide what to build, what to defer, and how to sequence investments for maximum impact.
• Drive operational excellence for nightly regression runs: own pass rate metrics, defect escape rates, and cycle time improvements.
• Partner with payload software, systems engineering, RF, and operations teams to align test automation priorities with program milestones and launch schedules.
• Remove obstacles and make resourcing tradeoffs that keep the team focused on highest-value work.
• Establish engineering best practices for the team: coding standards, code reviews, design documentation, and operational runbooks.
• Own hiring bar and talent strategy—build a pipeline of candidates, conduct interviews, and make hiring decisions that strengthen the team.
• Develop engineers through coaching, stretch assignments, and clear career growth paths.
• Manage performance and deliver direct feedback.
• Drive architecture decisions for test frameworks, CI/CD pipelines, and data pipelines in collaboration with senior engineers on the team.

Skills

Degrees

Industry

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