- Understand the Machine Learning Acceleration (MLA) platforms and create CI/CD and other automation to enhance customer experience and system quality.
- Collaborate with Machine Learning Software and Hardware Teams to address challenges and enhance operational efficiency and release quality
- Develop software that is maintainable, scalable, well-documented, tested, and reusable.
- 3+ years of professional software development experience (non-internship)
- 2+ years of design or architecture experience (outside of internships) encompassing design patterns, system reliability, and scalability of new and existing systems
- Ability to program in at least one software language
- 3+ years of involvement in the full software development life cycle, including adherence to coding standards, code reviews, source control management, build processes, testing, and operations
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Software Engineer, Release and Automation Annapurna Labs ML Acceleration Server Software - Austin, United States - Annapurna Labs (U.S.) Inc.
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Description
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 errors slip into the final product? Have you created a personalized test runner and automated it for each build? Do you dislike repetitive manual tasks? Have you automated things in your home like lights, window blinds, or the thermostat? Or perhaps you faced an unexpected issue with wildlife and set up a motion sensor to handle it.
Explore the internal mechanisms of the largest and most extensive cloud provider globally. Our team develops software to streamline the release and day-to-day operations of various platforms. Come be a part of our dynamic team.
We are looking for an engineer who is proficient in Java or Kotlin, acquainted with AWS Step functions, Databases (DynamoDB, Timestream, etc), Lambdas, CDK, Cloud Formation, EC2, and has a background in large-scale software deployment with CI/CD.
Inclusive Team Culture
At AWS, we value diversity. We are dedicated to nurturing an inclusive environment. We have ten employee-led affinity groups, comprising 40,000 employees spread across over 190 chapters worldwide.
We offer innovative benefits and organize regular learning opportunities, such as our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Amazon's culture of inclusion is reflected in our 16 Leadership Principles, which encourage team members to seek diverse perspectives, be curious, and build trust.
Work/Life BalanceWe prioritize work-life balance in our team.
It's not about the number of hours spent at work or home; it's about establishing a rhythm that energizes both aspects of your life.
We believe that achieving a harmonious balance between personal and professional life is essential for long-term happiness and fulfillment.We provide flexibility in working hours and support you in finding your unique equilibrium between work and personal commitments.
Mentorship & Career GrowthOur team is committed to guiding new members.
We have a mix of team members with varying levels of experience and backgrounds, fostering an environment that promotes knowledge sharing and mentorship.
We prioritize your career advancement, aiming to assign projects that aid each team member in evolving into a well-rounded professional capable of tackling more intricate tasks in the future.
We are considering candidates for positions in:Austin, TX, USA
BASIC QUALIFICATIONS
