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Amazon

Software Development Engineer, Agentic WorkSpaces

Amazon is hiring a Software Development Engineer, Agentic WorkSpaces in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • The posting mentions Bedrock, Lovable and AWS among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Software Development Engineer building Agentic WorkSpaces to enable secure human-AI collaboration at cloud scale.

BedrockLovableAWS
ai-agentssoftware-engineeringcloud-computingagentic-aidistributed-systems
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

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
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.

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.

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.

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.

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

How we rate this

Software Development Engineer, Agentic WorkSpaces at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSoftware EngineeringCloud ComputingAgentic AIDistributed SystemsBedrockLovableAWS

Also common in software engineer jobs at this level

Pay

This job starts at
$144k
Typical software engineer job
$167k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where software engineering was part of your work. What did you do?
  3. Tell me about a project where cloud computing was part of your work. What did you do?
  4. Tell me about a project where agentic ai was part of your work. What did you do?
  5. Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Software Engineering, Cloud Computing, Agentic AI, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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