Senior Software Engineer, SageMaker AI Studio

Amazon is hiring a Senior Software Engineer, SageMaker AI Studio in Santa Clara, United States. It pays $193k-$262k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
Pay on this posting starts 16% higher than the typical software engineer posting on Level.
The posting mentions SageMaker, Java and Python among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and deliver distributed systems for SageMaker AI Studio powering machine learning and generative AI workflows.

SageMakerJavaPythonTypeScriptGo

distributed-systemsmachine-learninggenerative-aisoftware-architecture

# 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Santa Clara - 193,300.00 - 261,500.00 USD annually
USA, WA, BELLEVUE - 168,100.00 - 227,400.00 USD annually

How we rate this

Senior Software Engineer, SageMaker AI Studio at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Software Engineer, SageMaker AI Studio is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $193k-$262k a year.
The role is based in US, CA, Santa Clara.
The job was posted on August 11, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsMachine learningGenerative AISoftware ArchitectureSageMakerJavaPythonTypeScript

Also common in software engineer jobs at this level

LLM C++AI agents Kubernetes RAG Google Cloud

Pay

This job starts at: $193k
Typical software engineer job: $167k

This posting starts 16% above the typical software engineer job. See software engineer jobs

Questions you could be asked

Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where software architecture was part of your work. What did you do?
Walk me through how you've used SageMaker in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Distributed Systems, Machine learning, Generative AI, Software Architecture, and SageMaker. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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