Software Development Engineer II, Managed Operations (MO)
Amazon is hiring a Software Development Engineer II, Managed Operations (MO) in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- The posting mentions Generative AI, AI Assisted Development and Code Generation among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Software Development Engineer II to build agentic-first platforms and leverage generative AI tools to accelerate AWS infrastructure operations.
The AWS Managed Operations (MO) organization objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability, reliability, latency, performance and efficiency to operate AWS regions.
We are in search of an experienced Software Developer to develop products for our customers to enable AWS to expand its global footprint. Developers at Amazon work on real world problems on a global scale, own systems end-to-end, and influence the direction of our technology that impacts hundreds of millions of customers around the world. Join a team of passionate, customer obsessed developers that think big and have fun.
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Key job responsibilities
In this role you will:
- Design, implement, and deploy software components and features. You solve difficult problems generating positive feedback
- Build solutions to support Governance and security of Agents
- Build solutions to convert our platform to agentic-first interface
- Have a solid understanding of design approaches and how to best use them
- Work independently and with your team to deliver software successfully
- Train new team-mates about your customers, what your team’s software does, how it is constructed, tested, operates, and how it fits into the bigger picture.
Generative AI & Accelerated Development
- Demonstrated ability to leverage Generative AI tools and AI-assisted development environments to accelerate prototyping, development, validation, and testing workflows
- Experience using AI-powered code generation and review tools to rapidly iterate on infrastructure automation scripts, configuration templates, and systems tooling and to automate investigative, diagnostic, or operational tasks
- Ability to apply GenAI capabilities to accelerate test case generation, integration testing, and validation of complex infrastructure components — reducing cycle times without sacrificing quality or security rigor
- Comfort using GenAI tools to rapidly synthesize technical documentation, compliance frameworks, and architectural patterns — accelerating research and decision-making in ambiguous problem spaces
- Awareness of the responsible use of GenAI in security-sensitive environments, including understanding of data handling boundaries, model limitations, and appropriate human-in-the-loop validation practices
A day in the life
Our Software Development teams deliver solutions which support a centralized operational model and deliver on data driven findings to reduce operational toil for Amazon builders.
We are committed to delivering high-quality leading-edge solutions, that improve customer satisfaction, increase efficiency, and enhance productivity by reducing time to resolve issues, consolidating resources to reduce costs, and standardizing operations.
About the team
Why AWS?
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
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.
About 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.
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
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 in the cloud.
Basic qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
Preferred qualifications
- Bachelor's degree in computer science or equivalent
- 6+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems
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 - 143,700.00 - 194,400.00 USD annually
How we rate this
Software Development Engineer II, Managed Operations (MO) at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $144k
- Typical software engineer job
- $167k
This posting starts 14% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where system design was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where agents was part of your work. What did you do?
- Tell me about a project where testing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Development, System Design, Infrastructure, Agents, and Testing. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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