Software Development Engineer II, Managed Operations (MO)

About the role

AWS provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the Infrastructure organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS.

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