Senior Software Solutions Engineer, Annapurna Labs

DESCRIPTION

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.

Annapurna Labs, as part of AWS, is seeking an experienced Senior Software Solutions Engineer to drive innovative cloud-based solutions and software infrastructure across Annapurna Operations. This role combines system development engineering with database architecture and cross-functional technical leadership, supporting the optimization of our semiconductor products and manufacturing processes.

Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products and services
• Technically contribute to complex charters of building and delivering cloud solutions
• Design and build scalable, high-performance internal database systems to store and manage production data from across our operations
• Develop pipelines and APIs to aggregate production data from multiple sources and systems
• Build distributed data sources, index, and query systems that are scalable, and use these systems to optimize product quality, reliability and performance
• Deliver technical initiatives that drive performance and cost optimization to our products and manufacturing processes
• Create intuitive dashboards for monitoring production indicators and key metrics
• Provide software solutions and technical expertise to various Annapurna operations teams
• Collaborate with manufacturing, logistics, quality, and engineering teams to understand data requirements

About the team
AWS values diverse experiences. Even if you do not meet all of the 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.
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 & 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.
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.

BASIC QUALIFICATIONS

- 5+ years of professional software development experience
- Demonstrated expertise in designing and implementing large-scale database systems and data architectures
- Proficiency in Python, C/C++, Java, or similar systems programming languages
- Extensive experience building and optimizing data pipelines, ETL processes, and data integration systems at scale
- Deep understanding of database optimization, query performance tuning, and system scalability
- Proven experience with AWS products and services

PREFERRED QUALIFICATIONS

- Experience designing internal analytics platforms or enterprise data warehouses
- Deep familiarity with AWS databases (RDS, DynamoDB, Redshift, Aurora)
- Experience with business intelligence tools and data visualization platforms
- Knowledge of manufacturing operations or supply chain systems
- Track record of delivering high-impact solutions with measurable business outcomes

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.