DESCRIPTION

Software Development Engineer – AWS AI Services / Machine Learning

The Amazon Web Services team is innovating new ways of building massively scalable distributed systems and delivering the next generation of cloud computing with AWS offerings like Polly, SageMaker, and Rekognition. In 2013, AWS launched 280 services, but in 2016 alone we released nearly 1000. We hold high standards for our computer systems and the services we deliver to our customers: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale; our employees are smart, passionate about the cloud, driven to serve customers, and fun to work with.

A successful engineer joining the team will do much more than write code and triage problems. They will work with Amazon’s largest and most demanding customers to address specific needs across a full suite of services. They will dive deep into technical issues and work diligently to improve the customer experience. The ideal candidate will…

– Be fun to work with. Our company credo is “Work hard. Have fun. Make history”. The right candidate will love what they do and instinctively know how to make work fun.
– Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues.
– Love to code. Whether it’s building tools in Java or solving complex system problems in Python, the ideal candidate will love using technology to solve problems. You have a solid understanding of software development methodology and know how to use the right tool for the right job.
– Think Big. The ideal candidate will build and deploy solutions across thousands of devices. You will strive to improve and streamline processes to allow for work on a massive scale.

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 we 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.

We are dedicated to supporting our new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

Candidates should be willing to…

– Design and build automation to help address operational needs and customer asks.
– Design and customize service features to support use cases for US government customers and commercial stakeholders.
– Participate in region build and operational activities when required.
– Participate in an oncall rotation.

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.

Have questions about this role? Start a chat with the recruiter today! Please reach out to Arielle Zigelman or azigelma@amazon.com for inquiries.

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.

Utility Computing (UC)
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, including support for customers who require specialized security solutions for their cloud services.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and 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.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

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Key job responsibilities
– You design, implement, and deploy software components and features. You solve difficult problems generating positive feedback.
– You have a solid understanding of design approaches (and how to best use them).
– You are able to work independently and with your team to deliver software successfully.
– Your work is consistently of a high quality (e.g., secure, testable, maintainable, low-defects, efficient, etc.) and incorporates best practices. Your team trusts your work.
– Your code reviews tend to be rapid and uneventful. You provide useful code reviews for changes submitted by others.
– You focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve your team’s software, making it better and easier to maintain.
– You make improvements to your team’s development and testing processes.
– You have established good working relationships with peers. You recognize discordant views and take part in constructive dialogue to resolve them.
– You are able to confidently train new team-mates about your customers, what your team’s software does, how it is constructed, tested, operates, and how it fits into the bigger picture.

A day in the life
Engineers in this role will work on automation, development, and operations to support AWS machine learning services for US government customers. They will work in an agile environment, attend daily standup, and collaborate closely with teammates. They will work on exciting challenges at scale and tackle unsolved problems.

About the team
The AWS AI/ML Amazon Dedicated Cloud team is a devops team focused on supporting US government customers by delivering, supporting and customizing AWS AI/ML commercial services for our customers use cases. We strongly believe in automating our operations, continuously improving our processes, and always insisting on the highest standards.

BASIC QUALIFICATIONS

– 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
– Current, active US Government Security Clearance of TS/SCI with Polygraph

PREFERRED QUALIFICATIONS

– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalent

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

USA, WA, Seattle