Sr. Software Development Engineer, AWS Quick
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Description
Amazon Quick is building an AI-native work surface that understands what users want to accomplish and figures out how to get it done. We are looking for a Software Development Engineer III to design and deliver the third-party integrations that connect Quick to the business systems users rely on every day, enabling AI agents to take real action on their behalf. You will lead technical strategy for these connectors, working across teams to solve problems where requirements are clear but the right architecture is not. If you enjoy building systems that must work reliably at enterprise scale and want your code to directly drive product adoption, this is a role where your engineering decisions will have visible impact.
Key job responsibilities
- Design and deliver third-party integrations and real-time connectors that enable AI agents within Quick to take action on behalf of users across the business systems they depend on.
- Own the architectural direction for your team's integration platform, evaluating tradeoffs in scalability, performance, security, and maintainability while influencing technical decisions in systems you depend on but do not control.
- Write high-quality code that sets the standard for your team in organization, clarity, error handling, and documentation, and drive adoption of consistent engineering practices.
- Mentor and coach engineers on your team and across partner teams, contributing to hiring, career development, and a strong engineering culture.
- Identify opportunities to simplify existing systems, reduce technical debt, and apply generative AI tools where they improve productivity and product quality.
A day in the life
You might start your morning reviewing a design for a new connector that links Quick to an external business application, offering feedback that strengthens the approach before implementation begins. Later, you pair with engineers on a partner team to align on an API contract and discuss how agents will authenticate and act within a third-party system. In the afternoon, you write code for a critical integration component, balancing near-term delivery with long-term extensibility. Between deep technical work, you check operational dashboards, refine runbooks, and spend time coaching a teammate through a tricky problem.
About the team
The Quick team is on a mission to build an AI-native work surface where users simply express what they want to accomplish and Quick handles the rest, drawing on deep knowledge of the user, their team, and their organization. Our real-time connectors are central to that vision: they drive adoption by giving Quick the breadth and reliability enterprises demand. We value collaboration, technical rigor, and open dialogue. If you want to join an inclusive team where your work directly shapes how people interact with AI at work, we would love to talk.
Key job responsibilities
- Design and deliver third-party integrations and real-time connectors that enable AI agents within Quick to take action on behalf of users across the business systems they depend on.
- Own the architectural direction for your team's integration platform, evaluating tradeoffs in scalability, performance, security, and maintainability while influencing technical decisions in systems you depend on but do not control.
- Write high-quality code that sets the standard for your team in organization, clarity, error handling, and documentation, and drive adoption of consistent engineering practices.
- Mentor and coach engineers on your team and across partner teams, contributing to hiring, career development, and a strong engineering culture.
- Identify opportunities to simplify existing systems, reduce technical debt, and apply generative AI tools where they improve productivity and product quality.
A day in the life
You might start your morning reviewing a design for a new connector that links Quick to an external business application, offering feedback that strengthens the approach before implementation begins. Later, you pair with engineers on a partner team to align on an API contract and discuss how agents will authenticate and act within a third-party system. In the afternoon, you write code for a critical integration component, balancing near-term delivery with long-term extensibility. Between deep technical work, you check operational dashboards, refine runbooks, and spend time coaching a teammate through a tricky problem.
About the team
The Quick team is on a mission to build an AI-native work surface where users simply express what they want to accomplish and Quick handles the rest, drawing on deep knowledge of the user, their team, and their organization. Our real-time connectors are central to that vision: they drive adoption by giving Quick the breadth and reliability enterprises demand. We value collaboration, technical rigor, and open dialogue. If you want to join an inclusive team where your work directly shapes how people interact with AI at work, we would love to talk.
