Software Development Engineer, Agentic WorkSpaces

Remote from
USA
Salary, yearly, USD
143,700 - 194,400
Employment type
Full Time,
Job posted
Apply before
24 Jul 2026
Views / Applies
16 / 3

About Amazon.com

Amazon is a global e-commerce leader, offering everything from books to electronics and beyond.

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This job post has been manually reviewed for authenticity and compliance.

AI Summary

AWS is seeking a Software Development Engineer to join the Agentic WorkSpaces team, reimagining cloud desktops as intelligent, AI-powered collaborative environments. The role involves building secure, low-latency platforms for human-AI teamwork at enterprise scale, integrating with services like Amazon Bedrock and Amazon Q. Key responsibilities include driving system optimizations, ensuring operational excellence, and autonomously troubleshooting high-availability services used by millions. The position requires deep expertise in distributed systems, cloud computing, and agentic AI, with a focus on delivering best-in-class streaming experiences. This is an opportunity to shape the future of work at the intersection of cloud and AI.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role involves complex technical challenges in agentic AI and cloud infrastructure, requiring deep expertise, low-latency design, and operational ownership across global services, making it highly difficult.

Salary Analysis

Median Highly Competitive
USD169,050
US Market
USD130k – 200k
0 USD220k
AI Insight The offered salary range of $143,700 - $194,400 is competitive, with a median of $169,050 aligning well with market rates for senior software engineers at leading tech companies. The upper end exceeds typical market maximums, indicating the high value placed on this role.

Key Skills

AWS Cloud Computing Agentic AI Low-latency Systems High Availability Distributed Systems Software Development Operational Excellence Innovation Collaboration

Dear Hiring Manager,

I am writing to express my strong interest in the Software Development Engineer position for Agentic WorkSpaces at AWS. With extensive experience in cloud computing and distributed systems, I am excited about the opportunity to build the next generation of AI-powered workspaces that redefine human-AI collaboration.

My background includes designing high-availability, low-latency services at scale, and I have a proven track record of driving system optimizations and operational excellence. I am particularly drawn to the visionary goal of creating intelligent workspaces that empower enterprise teams.

I am confident that my technical expertise and passion for innovation would make me a valuable contributor to the Agentic WorkSpaces team. Thank you for considering my application.

Sincerely, [Your Name]

Describe a complex distributed system you designed. How did you ensure low latency and high availability?
I designed a real-time analytics platform using microservices on AWS. To minimize latency, I used caching layers (Redis) and optimized data pipelines with Kafka for async processing. High availability was achieved through multi-region deployment, auto-scaling, and circuit breakers. I also implemented comprehensive monitoring and automated failover procedures.
How would you design a service that integrates agentic AI capabilities into a cloud desktop environment?
I would start by defining clear APIs for AI agent interactions, using a message bus for communication. The workspace would leverage AWS Bedrock for AI models, with a dedicated agent orchestration layer. For security, I'd implement identity-aware proxies and encrypt all data. The system would be modular to allow seamless updates of AI components without disrupting user experience.
Tell me about a time you had to troubleshoot a critical production issue with minimal information. What was your approach?
During a latency spike in a streaming service, I first analyzed metrics and logs to identify the affected components. Using a systematic hypothesis testing approach, I traced the issue to a misconfigured load balancer. I rolled back the change and implemented additional alerting to catch similar issues proactively. Post-mortem, I improved documentation and deployment checklists.
How do you stay current with emerging technologies like agentic AI, and how would you apply them to this role?
I regularly read research papers and attend conferences on AI and cloud computing. For this role, I'd explore how foundation models can be used for context-aware workspace suggestions and automated routine tasks. I would also prototype integrations with existing AWS AI services to evaluate feasibility and performance.
Explain a situation where you had to balance technical debt with delivering new features quickly. How did you handle it?
In a high-growth startup, we needed to ship a new feature for a major client but had significant technical debt. I proposed a phased approach: first, deliver the feature with a pragmatic design that didn't increase debt, then allocate time in subsequent sprints for refactoring. I also automated tests to ensure stability during refactoring. This maintained velocity while gradually improving code quality.

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 WorkSpaces has protected and empowered enterprise work for over a decade. Now we are reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. The Agentic WorkSpaces organization envisions a world where people, teams, and AI collaborate securely from anywhere to create unprecedented value for every organization. We build lovable products that empower every business to unlock the full potential of human-AI teamwork, driving smarter decisions, greater creativity, more value, and faster innovation with confidence.
Come change the way the world sees the cloud! Amazon WorkSpaces is a managed desktop computing service in the cloud that allows customers to easily provision cloud-based desktops, enabling end-users to access the documents, applications, and resources they need with the device of their choice, including laptops, iPad, Kindle Fire, Android tablets, and zero clients. With a few clicks in the AWS Management Console, customers can provision a high-quality cloud desktop experience (for Windows or Linux) for any number of users at a cost that is highly competitive with traditional desktops and half the cost of most virtual desktop infrastructure (VDI) solutions. Now, we are taking this further with the agentic WorkSpace: a secure, managed environment purpose-built for human-AI collaboration at enterprise scale, where people and AI agents work side by side to deliver results neither could achieve alone.
We offer a unique opportunity to solve some of the most interesting problems associated with providing secure, reliable, fast, and highly scalable solutions at the intersection of cloud computing and agentic AI. In the process you will have the opportunity to work on a number of industry-leading AWS services. Our team is innovating in multiple areas to give our customers the best-in-class interactive streaming platform while pioneering the next generation of human-AI collaborative workspaces. We are looking for people who believe in providing world-class application streaming experience for AWS Enterprise and ISV customers, and who are energized by the challenge of building the future where every workspace is an intelligent partner that drives smarter decisions, greater creativity, and faster innovation with confidence.
Key job responsibilities
In our team, you will indulge your love of diving deep into complex technical problems, driving incremental system optimizations and raising the bar for operational excellence and development practices. We will look to you to help enhance the skills and expertise of those around you.
We are looking for passionate SDEs who want to build their career in Agentic WorkSpaces For End-User Personas. Partner with Amazon Bedrock, Amazon Q teams, and peer organizations to ensure the WorkSpaces agentic architecture leverages and contributes to shared AWS agentic infrastructure. Operational ownership of low-latency, high-availability services used by over one million WorkSpaces users globally. Ensure your team’s services meet stringent SLAs across multiple production regions and OS variants, with autonomous troubleshooting and proactive issue resolution before customers are impacted.
If this sounds interesting to you, talk to us!
About the team
ABOUT AWS:
Diverse Experiences
Amazon 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.
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.
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and 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.

Basic Qualifications

– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– 1+ years of software development engineer or related occupational experience
– 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
– 1+ years of Object Oriented Design experience
– Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
– Experience programming with at least one software programming language

Preferred Qualifications

– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle – 143,700.00 – 194,400.00 USD annually

Apply now >

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