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 in April 2023, with the objective to reduce operational load and toil through long-term engineering 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.
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 50/50 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 - Design and build systems that improve fleet management-such as safely migrating workloads to more optimal hardware types-delivering measurable gains in performance.
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.
BASIC QUALIFICATIONS
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
PREFERRED QUALIFICATIONS
- 5+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- 2+ years of non-internship professional software development experience
- Experience in networking, storage systems, operating systems and hands-on systems engineering
- Experience with distributed systems at scale
