Senior Software Engineer-AI, Annapurna Labs

- +8 years of software development experience.
- Proven experience in Python
- Experience with AI/GenAI implementation in infrastructure solutions
- Deep understanding of software design patterns and best practices
- Bachelor's or Master's degree in Computer Science or related field

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

Be part of an elite team developing cutting-edge AI infrastructure automation solutions supporting Annapurna Labs' innovative technology development. Shape the future of cloud computing while working with state-of-the-art cloud and AI technologies in a fast-paced environment.

Job Description:
We're seeking an exceptional Software Engineer to join our infrastructure automation team supporting Annapurna Labs' development teams. What makes this role unique is your direct impact on infrastructure innovation - you'll be building intelligent infrastructure that drives the development of next-generation cloud technologies.
You'll work at the fascinating intersection of AI and cloud infrastructure development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical infrastructure roles, you'll have the opportunity to influence both AI implementation and core infrastructure architecture while collaborating with world-class cloud technology experts.
The position offers rare exposure to cutting-edge cloud computing technology combined with the latest AI advances. You'll be part of a team that values innovation and technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role, you'll develop intelligent automation solutions, implement AI-driven tools for development workflow optimization, and create innovative infrastructure solutions that directly shape the way we work.

Key job responsibilities
* Design and implement AI-powered automation solutions for development workflows
* Develop and maintain Python-based infrastructure tools and services
* Create efficient CI/CD pipelines and build systems
* Implement intelligent monitoring and self-healing systems
* Drive technical discussions and architectural decisions
* Collaborate with cloud technology teams to understand and address their needs
* Maintain and improve existing infrastructure systems
* Participate in on-call rotations to ensure system reliability

Join us in revolutionizing how development is done at Annapurna Labs. This is your chance to be at the forefront of both AI innovation and infrastructure automation, working on technologies that will power the next generation of cloud computing!

About the team
*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 (CORE) and AmazeCon (gender diversity) 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.

- Experience with AWS cloud infrastructure development tools and workflows
- Knowledge of GenAI applications in development automation
- LLM tuning, LLM Distillation and sagemaker, Prompt Engineering
- Experience with serverless computing, containerization and orchestration (Lambda, Docker, Kubernetes)
- Background in build systems and CI/CD pipelines using CDK

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.