Software Development Manager, Leo KMM, Leo

Job summary

DESCRIPTION Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.

Benefits

Qualifications

• 3+ years of engineering team management experience
• 7+ years of engineering experience
• Experience partnering with product or program management teams
• Experience in networking, large-scale distributed systems or a related field
• PREFERRED
• Experience in communicating with users, other technical teams, and senior leadership to collect
• describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their
• and location.
• Amazon also offers comprehensive

Responsibilities

• We are seeking a Software Development Manager to lead the team responsible for building and owning the KMM INFRA and automation framework.
• You will also own the strategy and execution of the automation framework to ensure all features are continuously validated across releases with minimal manual intervention.
• People & Team Leadership
• Hire, mentor, and grow a high-performing team of SDEs focused on MAC analytics and automation
• Set technical direction and priorities, balancing short-term deliverables with long-term architectural investments
• Foster a culture of operational excellence, innovation, and continuous improvement
• Drive career development for team members, providing regular coaching and feedback
• Collaborate cross-functionally with MAC domain experts, release teams, and platform teams to align on roadmaps and dependencies
• MAC Analytics
• Drive development of self-improving analytical pipelines that automate triage, root cause analysis, and reporting from raw telemetry data, trained on historical contact data and engineer patterns
• Ensure the team builds intuitive interfaces that make MAC diagnostics accessible to non-domain experts, continuously expanding coverage based on new failure modes and field observations
• MAC Feature Automation

Skills

Degrees

Industry

Company size