Senior Manager Software Development, AWS Systems Manager
About The Position
AI agents can diagnose infrastructure problems in seconds — but they still stop at "here's what you should do" because nobody trusts them to actually press the button. Your teams will build the execution layer that changes that. This is a Sr. SDM role leading three engineering teams in AWS Systems Manager's Automation suite, making it safe for AI agents and human operators to take real actions on cloud infrastructure at scale. Systems Manager Automation already runs 175M+ steps per week across 668K active accounts. The next chapter is turning it into the standard execution interface for autonomous operations — where AI agents (AWS Frontier Agents, third-party tools, customer-built agents) can safely execute runbooks with pre-execution impact analysis, blast radius scoping, and automatic rollback. Your teams will ship the capabilities that make customers say "yes, I trust this to run without me watching."
Requirements
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
Nice To Haves
- Experience partnering with product and program management teams
- Experience designing and developing large scale, high-traffic applications
- Experience with AI/ML integration, workflow engines, or safety-critical systems
Responsibilities
- Lead three SDMs and their teams through a multi-year roadmap from foundations (2026) through intelligent orchestration (2028)
- Partner with Frontier Agents, Pulsar (observability), and Binder (security) teams as the execution layer they build on top of
- Make hard calls about safety vs. speed — how much verification is enough before letting an agent execute a production change?
- Own operational excellence for services handling 175M+ weekly executions across all AWS regions
- Grow engineers and managers who can independently design safety-critical distributed systems
- Set technical direction for the platform in partnership with Principal Engineers and product managers. You decide what to build, what to defer, and what to kill.
- Hire, develop, and retain three SDMs and their engineering teams. You understand the systems deeply enough to challenge technical decisions and are actively applying generative AI in all of your daily actions.
- Own service availability and operational excellence for services processing 175M+ automated actions per week across all AWS regions. When something breaks at 2am, your oncall teams handle it — because you built the mechanisms (runbooks, alarms, escalation paths) that make that possible.
- Drive cross-team partnerships with AI agent teams, observability, and security services who depend on your platform as their execution layer.
- Represent your teams in business reviews with crisp, data-driven narratives. You'll review your teams' progress monthly with multiple directors— showing roadmap progress, operational health, and customer adoption metrics.
- Make prioritization trade-offs between new features, tech debt, security compliance, and operational burden reduction.
Benefits
- sign-on payments
- restricted stock units (RSUs)
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
