Experience Inc. Jobs

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 Machine Learning System Operations and Automation Team is looking for candidates interested in writing automation software for our "fleet" of Machine Learning servers deployed around the world.

Do you like solving mysteries? Great! Figuring out what that light switch with no obvious function actually does? Me too! Are you wearing a smartwatch to monitor your sleep and activity over time to optimize your routines? You'll fit right in. Does the word exabyte excite you? Let's get to work.

Our team writes truly massive scale autonomous software to monitor, optimize, and remediate hardware in the most advanced servers in the world. Come join us!

Key job responsibilities

• Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products

• Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS

• Implement and improve system level testing across the product lifecycle

• Develop software which can be maintained, improved upon, documented, tested, and reused

• Dive deep on issues at the intersection of hardware and software

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 (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 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. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

About the team

The MLA Systems Operations and Automation team was formed to focus on scalable software primarily for rapid incident response times and data visualization. At a high-level our goal is to find ways to help the organization scale operational excellence and customer experience though the use of software and automation.

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA

Basic Qualifications

• Knowledge of systems engineering fundamentals (networking, storage, operating systems)

• 2+ years of non-internship professional software development experience

• 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience

• 2+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience

• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

• Experience with Linux/Unix

Preferred Qualifications

• Experience building services using AWS products

• Experience in automating, deploying, and supporting large-scale infrastructure

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.