System Development Engineer II, ML_AI Full-time

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.

Amazon SageMaker Ground Truth offers the most comprehensive set of Human-In-the-Loop (HIL) capabilities, allowing customers to harness the power of human feedback across the ML lifecycle to improve the accuracy and relevancy of models. The customers can complete a variety of human-in-the-loop tasks with SageMaker Ground Truth, from data generation and annotation to model review, customization, and evaluation, either through a self-service or an AWS-managed offering.

As part of the HIL org, you will be designing, building and maintaining engineering solutions which enable us to deliver high quality data annotations to our customers at massive scale, while maintaining and exceeding delivery SLAs. The team is working with latest trends in Generative AI and supporting AIML journey of our customers working with Deep Learning Models (such as Computer Vision, Natural Language Processing, Point Cloud).

Key job responsibilities

System Development Engineer II design and deliver technology solutions which solve difficult business problems. You identify and solve ambiguous problems, architectural deficiencies, or areas where your team’s systems hinder the innovation of other teams, and are learning to do this for other teams in your organization. You work autonomously, but may seek direction at times from peers and your manager. You consider the legacy of the systems you build with your team and how they will scale and evolve over time. Your solutions are pragmatic, efficient, and cost-effective. You make appropriate trade-offs and re-use or extend prior work where possible. When faced with short-term workarounds, you either avoid them entirely, take action to replace them with long-term solutions, or escalate their over-use as necessary. You thoroughly test your work. You consistently write clear, accurate, and concise documentation for your own solutions and improve your team’s existing documentation.

While your work is mostly tactical, as a trusted technical contributor on your team you are beginning to participate in strategic planning and decision-making with customers, partner teams, and peers. You are learning to work backwards from the customer experience, helping to balance customer requirements with team requirements and influence your team’s goals and programs. You begin to participate in your organization’s Operational Planning process. You are an active reviewer of your team’s technology solutions and operations. You are able to train new teammates, helping them understand your team’s customers, systems, and processes. You recognize discordant views and take part in a constructive dialogue to resolve them. You participate in hiring and developing others, and effectively mentor others on your team or on teams within your organization.

You consistently demonstrate operational excellence in all facets of your work. You deeply understand your team’s systems and can thoroughly diagnose problems in all aspects of operations, including hardware, software, and operating environments. You work to resolve the root cause of difficult performance, reliability, or availability issues and deliver innovative solutions, leaving systems better than when you found them. You learn how your team’s components behave as part of the larger organizational system, and how to analyze systems to identify operational risks at the product or service level. You improve your team’s operational health by participating in design, operations and post-incident reviews to identify risks to resilience. You then deliver projects that mitigate those risks. You may improve operational excellence across teams and provide guidance to peers outside your own team.

This position is perfect for you if you’re interested in creating tools and automation so that engineers can be as hands-off as possible. We want our service to be as autonomous as possible, and that can only be done by having bright engineers who understand how to Think Big, simplify solutions to complex unprecedented problems, all in pursuit of the best customer experience possible. Our environment is built for engineers who flourish in creating automation to reduce the operational workload rather than simply performing operational work all day.

A day in the life

On a “typical” day, System development engineers may work with operations program managers to better understand the use cases of a labeling job, verify the accuracy of labeling job configurations, write and tweak HTML/JS-based graphical user interfaces, deploy labeling jobs, write, tweak, and run pre and post processing code with Python, deliver results to the customer in the format and timeframe they have requested, and troubleshoot, optimize, and document the systems in between.

About the team

Diverse Experiences

AWS 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.

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.

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.

Mentorship & 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.

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.

BASIC QUALIFICATIONS

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

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

– Experience with Linux/Unix

– Experience with CI/CD pipelines build processes

PREFERRED QUALIFICATIONS

– Experience with distributed systems at scale