Software Development Manager, Amazon Quick
Amazon is hiring a Software Development Manager, Amazon Quick in Seattle, United States. It pays $185k-$250k a year and Level rates it ; you can apply on Level.
AI in this role
Lead a software development team building authorization and audit systems for Amazon Quick, a generative AI-powered enterprise assistant.
We are looking for a Software Development Manager who is a creative problem-solver, thrives in a start-up like environment and is energized by tackling complex technical challenges to push the boundaries of what's possible with AI. Your team will design, build, and operate the authorization policies, enforcement plane, and audit systems that govern every interaction in Amazon Quick, whether initiated by a person or by an AI agent acting on their behalf. Your work will directly enable Amazon Quick to scale its agentic capabilities while meeting the access-control requirements that enterprise customers depend on. You will collaborate across more than a dozen partner teams, influence architectural decisions in systems you depend on, and coach other engineers on your team. This is an opportunity to shape how the industry approaches access control for agentic AI, at a time when the problem is still being defined.
Key job responsibilities
As a Software Development Manager, you'll lead an elite team of development engineers to define, drive and execute on our product vision. You will invent and ship software that directly impacts our end customer experience. You'll develop your team of highly motivated and talented builders who can collaborate with applied scientists, product managers, technical specialists, and principals across the company.
Responsibilities
- You'll lead the overall development life cycle of software solutions and manage complex projects with significant impact.
- Coordinate with your senior engineers to develop the best technical design and approach for product development.
- Assure that your team's designs meet requirements, and deliver high-quality work on tight schedules.
- Prioritize, plan projects and features, manage partners, and track external commitments.
- Monitor operation of production services to ensure Operational Excellence.
- Foster the career development of your direct reports.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Basic qualifications
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- 10+ years of full stack development experience
- 5+ years of building production software experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with end-to-end ownership of major project deliverables
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually
How we rate this
Software Development Manager, Amazon Quick at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where software management was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where access control was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Software Management, Generative AI, Access Control, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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