AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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:
Were 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 - youll be building intelligent infrastructure that drives the development of next-generation cloud technologies.
Youll 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 youll 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. Youll 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 youll 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
* Maintain and improve existing infrastructure systems
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 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
Here at AWS its 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
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.
- 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
- Bachelors or Masters degree in Computer Science or related field
- 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
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