Software Engineer, Infra & DevOps team Annapurna
Department:
Job Summary
Youll work at the fascinating intersection of AI driven automation and cloud platform development implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical roles youll have the opportunity to influence both AI implementation and core architecture while collaborating with cloud technology experts.
The position offers rare exposure to cutting-edge cloud computing technology combined with the latest advances in artificial intelligence. Youll be part of a team that values technical excellence working in an environment where your ideas can quickly transform from concept to reality.
In this role you will create groundbreaking platforms that directly shape the way we work. Youll develop smart automation solutions implement AI-driven tools and workflows and be part of AI transformation.
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.
Key job responsibilities
* Develop and deploy AI-powered solutions and AWS cloud services that transform development workflows
* Lead technical innovation by driving architectural decisions and GenAI technology adoption
* Champion AI transformation across engineering teams through education and hands-on implementation
* Partner with elite cloud teams to identify opportunities and deliver cutting-edge solutions
* Ensure system excellence through participation in on-call rotations and reliability initiatives
Ready to revolutionize development at Annapurna Labs Join us at the forefront of AI innovation and infrastructure automation where your contributions 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 theres nothing we cant achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Experience with Python programming skills
- Good software engineering fundamentals: design patterns system architecture testing documentation
- Basic knowledge in AI/GenAI concepts and applications: working with LLMs embeddings RAG prompt engineering and AI agents
- Bachelors degree in Computer Science or equivalent technical field
- Self-driven learner with ownership mentality
- Collaborative team player who thrives in fast-paced environments
- 1 years of hands-on software engineering experience
- Cloud experience: developing serverless services cloud based architecture
- Hands-on experience building GenAI applications - RAG systems AI agents chatbots LLM pipelines
- Experience with modern development tools - Cursor Cline GitHub Copilot or similar AI-assisted coding tools
- Knowledge of AWS serverless and cloud infrastructure (Lambda CDK S3 SQS etc.)
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
About Company
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