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Annapurna Labs (U.S.) Inc. in Austin seeks an engineer to design and build services and automations for releases and daily operations of ML servers.
The role focuses on Java or Kotlin, AWS Step Functions, DynamoDB, Lambdas, CDK and CloudFormation, with experience releasing software at scale using CI/CD. Join a team that improves release processes across platforms, collaborates with ML software and hardware teams, and builds maintainable, well-documented code.
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Release and Automation Software Team is looking for candidates interested in designing and building services and automations to improve the releases and operations of our Machine Learning servers.
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Release and Automation Software Team is looking for candidates interested in designing and building services and automations to improve the releases and operations of our Machine Learning servers.
Have you ever wondered how some public bug ever made it to production? Ever built a custom test runner and automated it for every build? Do you despise repeated manual work? Have you built any automation for your home? The lights, maybe window blinds, maybe the thermostat, or maybe you had a wild animal problem and you set up a motion sensor to turn on the sprinklers and send them packing. If that fits you or just sounds fun we want to hear from you.
Come learn about the inner workings of the largest and most comprehensive cloud provider on the planet. Our team writes software to automate the release and daily operations of multiple platforms. Come join our team.
We are seeking an engineer that is comfortable with Java or Kotlin, familiar with AWS Step functions, Databases (DynamoDB, Timestream, etc), Lambdas, CDK, Cloud Formation, EC2, and experienced with releasing software at scale with CI/CD.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
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), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
- Annapurna Labs (U.S.) Inc.
Job ID: A10432389