Senior Software Engineer, SageMaker AI - Studio IDE

• Obsess over Customers to provide a simple and secure experience and directly collaborate with these customers to make their lives easier
• Take Ownership of the customer experience to build for the long term and represent our team in discussions with the many other teams within SageMaker AI and beyond
• Invent and Simplify (both individually and by soliciting ideas from your team) to improve CX, OE, and EE
• Think Big to inspire and motivate the team to work on the most important problems. Don’t limit yourself to components that our team directly owns
• Have Backbone; Disagree & Commit to advocate for your vision, but align with org priorities when partners or leaders have a different point of view
• Earn Trust of external customers, your team, and both partners by clearly communicating technical concepts, project status, and risks
• Deliver Results by continually launching new features quickly
• Insist on the Highest Standards for usability and accessibility as well as operational and engineering excellence
• Be Right; A Lot in your judgement of what customers need and how to deliver it
• Hire and Develop the Best SDEs by mentoring and coaching teammates and partners

A day in the life A day in the life

• As the primary owner of our team’s IDEs and managing the platform where they are hosted
• Lead strategic vision of Agent infrastructure to build next generation of SageMaker AI
• Collaborate with UX Designers, Product Managers, and other engineers to propose, design, and deliver customer-facing features
• Collaborate with SDMs and PEs on roadmap planning and prioritization
• Lead project execution, taking the most complex parts yourself and delegating others to teammates
• Be an active participant in recurring mechanisms like standups, ops meetings, and status reporting
• Lead by example and actively mentor teammates to increase their performance and reach their career goals

4+ years of non-internship professional software development experience

• 4+ years of programming with at least one software programming language experience
• 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

• 5+ 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

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Santa Clara - 193,300.00 - 261,500.00 USD annually

Amazon SageMaker Studio is the fully integrated development environment tailored for machine learning, and is growing rapidly to be the tool of choice for machine learning scientists and practitioners all around the world. All AI/ML development activities including notebooks, experiment management, automatic model creation, debugging, and model and data drift detection can be performed within SageMaker Studio. We support many popular frameworks for deep learning and we’re rapidly expanding our IDE offerings to include both web-based and local development experiences.

We are seeking an experienced Senior Engineer to lead a team of engineers building the agentic guided experience on SageMaker Studio. You will own the end-to-end development and delivery of IDE experiences - including JupyterLab, Code Editor, and emerging local IDE integrations - that serve millions of data scientists, ML engineers, and developers worldwide.