Software Development Engineer III, AWS Specialist and Partner Insights

We are reimagining how business leaders and sales teams get their business analytics: software that understands the question a person means to ask, answers it from a trusted and governed source, and does so in seconds. This is a generative-AI and agentic-engineering role first, in equal parts front-end and back-end - the web experiences users touch and the services that power them - reaching thousands of users across AWS.

What you will build

You work across the full stack in equal measure: the front-end web app users interact with, and MCP integrated with agentic tools, and the back-end engineering that makes it work. Rather than static dashboards, the product understands who the user is - their role, their territory, their book of business, what they looked at last - and answers in plain language, tailored to how they read the business.

Our product lives inside a larger agentic ecosystem. It is a foundational agentic tool at AWS, and you will build the integrations that let it participate - Model Context Protocol (MCP) tool contracts, agent-to-agent (A2A) integrations, and the connections that let other agents and tools call it and let it reach the systems its users depend on. You will operate Bedrock on top of a large, governed data lake and think past the current product into where this product goes next

You are a technical lead on your team for these experiences. You help set the architecture across both the front-end and back-end, make high-stakes technical decisions, and mentor the engineers around you - reviewing their work, human-authored and agent-authored alike. You stay hands-on in the code and the code reviews that matter most.

We build AI-native. In our model, humans own judgment and agents own the mechanical middle. Engineers write the specification and set the acceptance criteria. Agents (Claude Code, Kiro) write a growing share of the implementation, author tests, and resolve code-review comments. Engineers direct, validate, and own what ships, and still hand-write the novel, ambiguous, and infrastructure-heavy work where models fall short.

Key job responsibilities

• Lead the end-to-end design, implementation, and delivery of software systems spanning multiple features, working across the full software lifecycle from customer requirements through deployment and ongoing maintenance.
• Own your team"s architectural direction by defining technical strategy, evaluating tradeoffs in scalability, maintainability, performance, and security, and ensuring the software fits cohesively into the broader system landscape.
• Collaborate with engineers on related teams to resolve cross-team dependencies, create alignment on technical approaches, and drive adoption of engineering best practices that improve code quality and development velocity.
• Mentor and coach multiple engineers by providing guidance on system design, coding practices, and career development, while actively contributing exemplary code that demonstrates best practices in organization, clarity, and error handling.
• Identify opportunities to simplify existing systems, reduce technical debt, and leverage generative artificial intelligence tools where appropriate to augment productivity, while evaluating and refining outputs to ensure quality and responsible use.

A day in the life

You start your morning reviewing design documents and providing feedback to engineers on your team who are building new features. By mid-morning, you are deep in code, working through a complex system integration that requires careful attention to performance and extensibility. After lunch, you join a cross-team architecture review where you advocate for a technical approach that balances short-term delivery needs with long-term maintainability. Later, you pair with a teammate to debug a production issue, walking through runbooks and telemetry data to identify root cause and prevent recurrence.

About the team

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the 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

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.