# Systems Development Engineer, Managed Operations (MO); AWS Operations Management (AWSOM) Team at Amazon

Amazon is hiring a Systems Development Engineer, Managed Operations (MO); AWS Operations Management (AWSOM) Team. It pays $129k-$175k a year and Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/7b5511f4-24b8-48ac-b9d3-eca7f3f3e27c?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. US, VA, Herndon.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 3 (score 65 out of 100)
- Location: US, VA, Herndon
- Salary: $129k-$175k
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/7b5511f4-24b8-48ac-b9d3-eca7f3f3e27c?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/systems-development-engineer-managed-operations-mo-aws-operations-management-awsom-team-at-amazon-cf1166

## Description

Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate? Would you enjoy diving deep into operating and improving some of the largest software systems humanity has ever built? Do the challenges that come of driving technical, business, and cultural change to improve the reliability, performance, and efficiency excite you? The AWS Managed Operations (MO) organization was founded iwith the objective to reduce operational load and toil through long-term engineering & Generative Artificial Intelligence (GenAI) projects. Managed Operations (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. Amazon is looking for highly motivated Systems Development Engineers who can balance the day-to-day operations of AWS’ software systems with long-term software engineering to reduce operational toil. We need engineers who enjoy constantly learning and diving deep into the wide range of systems and technologies that make up one of the world’s largest cloud providers. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also: - Build solutions to innovate our solutions to agentic-first interfaces - Solve challenging technical problems, often ones not solved before, at every layer of the stack. - Define system requirements, participate in the development and delivery of operability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation - Develop or further existing application and system management tools and processes that reduce manual efforts and increase overall efficiency 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 You will split your time approximately 60/40 between operating production systems and driving long-term improvements to the reliability, availability, and performance of those systems. What a Typical Week Looks Like: - Root cause analysis & remediation — Investigate production issues such as deployment failures, identify underlying bugs, and implement fixes to restore system health. - Systems-level problem solving — Identify patterns across individual / service incidents, design solutions that address entire classes of problems, and collaborate with your team to refine those designs. - SLO stewardship — Evaluate the effectiveness of Service Level Objectives, partner with stakeholder teams to validate thresholds, and update infrastructure as code (IaC) to keep monitoring meaningful and actionable. - Systems automation for operational excellence —

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/systems-development-engineer-managed-operations-mo-aws-operations-management-awsom-team-at-amazon-cf1166

Source: https://jobsbylevel.com/jobs/systems-development-engineer-managed-operations-mo-aws-operations-management-awsom-team-at-amazon-cf1166

## Cite this page

Level. https://jobsbylevel.com/jobs/systems-development-engineer-managed-operations-mo-aws-operations-management-awsom-team-at-amazon-cf1166.

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