Senior Software Engineer, SageMaker AI Studio (AWS)

Amazon; Bellevue (WA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Software Development Engineer for the SageMaker AI Studio team. You will own the design and delivery of large-scale distributed systems that power end-to-end ML development, driving technical vision and high engineering standards.

Role involves leading architecture, system design, and cross-team collaboration, with a focus on developer experience, observability, and customer-obsessed solutions. Strong leadership and mentoring are required.

Qualifications

• 7+ years of professional software development experience.
• 5+ years of designing and building large-scale distributed systems.
• Proficiency in one or more modern programming languages (Java, Python, TypeScript, Go).
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

Responsibilities

• Lead architecture, design, and implementation of large-scale software systems.
• Own end-to-end delivery of distributed services with high availability and low latency.
• Collaborate with product, science, and partner teams to define roadmaps and deliver solutions.
• Mentor engineers, conduct design and code reviews, raise technical standards.

Skills

Java

Python

TypeScript

Go

Education

Bachelor's degree in CS/Engineering

Job description

Senior Software Engineer, SageMaker AI Studio

Job ID: 10499263 | Amazon Development Center U.S., Inc.

# Job Summary - Senior Software Development Engineer, SageMaker AI Studio Amazon Web Services (AWS) is seeking a Senior Software Development Engineer to join the SageMaker AI Studio team. SageMaker AI Studio is the industry-leading integrated development environment (IDE) for machine learning and generative AI, empowering millions of developers and data scientists to build, train, and deploy models at scale. As a Senior SDE on this team, you will own the design and delivery of large-scale, highly available distributed systems that power the end-to-end ML development experience. You will drive technical vision, influence product direction, and raise the engineering bar across the organization. You will work at the intersection of cloud infrastructure, developer tooling, and AI/ML-solving complex problems that directly impact how customers innovate with machine learning.

Key Responsibilities

• Technical Leadership - Lead the architecture, design, and implementation of complex software systems. Define long-term technical strategy and drive alignment across teams.
• System Design & Delivery - Own end-to-end delivery of large-scale distributed services with high availability, low latency, and operational excellence.
• Cross-Team Influence - Collaborate with product, science, and partner engineering teams to define roadmaps and deliver customer-obsessed solutions.
• Mentorship & Bar Raising - Mentor engineers across levels, conduct design and code reviews, and actively raise the technical and operational bar for the team.
• Operational Excellence - Champion best practices in CI/CD, observability, testing, and incident management. Drive a culture of ownership and accountability.
• Innovation - Identify opportunities to simplify, automate, and improve the developer-experience. Contribute to patents, publications, or open-source projects where appropriate.
• Customer Obsession - Deeply understand customer workflows and pain points; translate insights into scalable, intuitive platform capabilities.

Basic Qualifications

• 7+ years of professional software development experience
• 5+ years of professional experience designing and building large-scale distributed systems
• Proficiency in one or more modern programming languages (e.g., Java, Python, TypeScript, Go)
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Preferred Qualifications

• Experience building developer tools, IDEs, or ML/AI platforms
• Deep understanding of cloud-native architectures (containers, server-less, micro-services)
• Track record of delivering ambiguous, high-impact projects with minimal guidance
• Experience mentoring senior engineers and influencing technical direction across an organization
• Familiarity with ML workflows (training, inference, model management) and the challenges practitioners face
• Master's or PhD in Computer Science or related field

Basic Qualifications

- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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, WA, BELLEVUE - 168,100.00 - 227,400.00 USD annually

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.