Software Engineer II, MLA Automation & Deployments

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience building complex software systems that have been successfully delivered to customers
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Additional Information

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. Key job responsibilities - Understand the Machine Learning Acceleration (MLA) platforms and designing and build CI/CD and other automation to improve customers experience and quality of the system. - Works with Machine Learning Software and Hardware Teams to understand challenges and improve efficiency and quality of releases and operations - Develop software which can be maintained, improved upon, documented, tested, and reused. A day in the life Inclusive Team Culture 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. Work/Life Balance 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. Mentorship & Career Growth 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.

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