Software Dev Engineer, AWS DevOps Agent

About the role

Do you want to build the next generation of Agentic AI developer and operations tools?

We are the AWS DevOps Agent Chat team under the Agentic AI DevOps organization. We're building intelligent DevOps assistance through Agentic Chat that transforms how customers interact with their AWS DevOPS Agent space or AWS infrastructure. Our AI teammate is always available, understands context across investigations, provides real-time insights, and helps prevent incidents before they occur.

As a Software Development Engineer on our team, you'll work directly with Large Language Models (LLMs) and build agents that enhance customer experiences at scale. You will leverage your deep technical expertise to design and deliver reliable, scalable, and highly performant AI systems.

You'll work extensively with AWS Agent Core, Amazon Bedrock, prompt engineering techniques, and agentic solutions while collaborating closely with Applied Scientists and AI experts. You will build rapid prototypes and proofs of concept in partnership with technology leaders across the team, tackling challenging, novel problems every day alongside multiple technical teams at AWS.

We are looking for a talented Software Development Engineer with a strong technical background, customer obsession, and bias for action. You should have a proven track record of delivering robust solutions quickly. Strong judgment and communication skills, long-term technical vision, and relentless focus on engineering and operational excellence are essential for success in this role. You will demonstrate technical proficiency, mentor and grow junior engineers, champion software development best practices, and iterate quickly to deliver results.

We foster a collaborative environment where innovation thrives and technical excellence is the standard. Every team member has the opportunity to shape the future of AI-powered DevOps while maintaining work-life balance and pursuing continuous learning.

Key job responsibilities

Design and build innovative AI-powered technologies in a large distributed computing environment that deliver meaningful customer impact.

• Develop LLM-based content generation workflows that are reliable, scalable, and performant.
• Partner with Applied Scientists to implement prompt tuning and LLM-as-a-judge techniques that power intelligent user experiences.
• Collaborate with cross-disciplinary teams across Amazon to conceive, design, and bring innovative products and services to market.
• Solve broadly defined problems by designing and coding the right solutions with sound technical judgment.
• Work in an agile environment to deliver high-quality software quickly while maintaining engineering excellence.

A day in the life

Diverse Experiences

• AWS 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.

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

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

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