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Software Development Engineer, Agentic Workspaces

Job in Sunnyvale, Santa Clara County, California, 94086, USA
Listing for: Amazon
Full Time position
Listed on 2026-09-19
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Description

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions.

Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

Amazon Work Spaces has protected and empowered enterprise work for over a decade, and we are now reimagining what a workspace is. We are building Agentic Work Spaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on Work Spaces daily; tomorrow those work spaces will host AI agents alongside humans, agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve.

We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it.

Agentic Work Spaces' Data Plane is the connective tissue that makes this possible: the single entry point through which every Work Spaces connection flows, and the streaming backbone that delivers the desktop experience once a session begins. We own the end-to-end pre-session journey, authentication across every identity method, session authorization, resource discovery, gateway selection, and cross-region failover, as well as the in-session streaming stack that carries pixels to the user and the pipeline that delivers workspace health and performance metrics back to our customers.

Our vision is for that connection to be seamless and invisible: users and the agents working beside them reach their workspace instantly and securely, sessions stream with high fidelity and low latency, failover is transparent, and the health of every connection is observable through the same AWS tools customers already use, delivered reliably from commercial regions to classified partitions, at a scale where availability and security are non-negotiable.

We are looking for a Software Development Engineer to design, build, and operate the services that authenticate, authorize, connect, and stream Work Spaces sessions for humans and, increasingly, for the AI agents that work beside them, across every supported identity provider and streaming protocol. You will own end-to-end delivery of features and systems within the Data Plane, from design through deployment and operations, holding a high bar for availability, latency, and security on the services that stand between every customer and their workspace.

You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like, a connection fabric that treats humans and agents as first-class principals, streaming that adapts intelligently to network conditions, and brokering that routes and heals itself before users notice a problem, and then you build the systems to get there.

You thrive in ambiguity, make sound trade-off decisions with incomplete information, and hold yourself accountable for results that matter. You want to solve challenging problems in distributed systems, identity, real-time streaming, and network infrastructure at a scale that impacts more than a million users daily.

Key job responsibilities

Design and deliver features and systems within the Data Plane, contributing to the architecture strategy for how the connection and streaming layer evolves to broker and stream sessions for AI agents alongside human users.

Drive the work that unifies and simplifies how sessions are brokered and streamed across protocols, making a consistent, high-fidelity connection experience the default. Partner with compute, identity providers, networking, and gateway teams, earning trust by driving technical discussions that result in impactful architectural decisions.

Design and implement pre-session authentication, authorization, and governance for a world where humans and agents share the same connection path: identity integration across every…
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