Software Development Engineer III, AWS Sagemaker Lakehouse Catalog

Amazon is hiring a Software Development Engineer III, AWS Sagemaker Lakehouse Catalog. It pays $193k-$262k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
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 build large-scale distributed data management and governance systems for AWS Lake Formation.

SageMakerJavaPythonAWS GlueAmazon S3Amazon Athena

distributed-systemsbig-datacloud-computingsoftware-architecture

Be part of a team which is passionate about solving real world data management and governance challenges. Come build large scale distributed systems that are central to the next generation of analytics in the cloud.

AWS Lake Formation is a service that helps build and secure data lakes in a simple, scalable, server-less architecture. We are looking for software engineers to join our growing team!

As a Software Engineer in Lake formation you will:
- Solve unique and first-order problems in areas of Big Data, Distributed Systems, and Server-less data processing
- Influence and build products that will leverage scale of resources to orchestrate data management and governance
- Be catalyst to deliver a truly disruptive product while still early enough to have impact and influence

Key job responsibilities
- Translate functional and technical requirements into detailed architecture, design and extensible code
- Be an advocate of industry best-practices to produce reliable, fault-torrent and dependable code
- Code and test complex system modules; develop and leverage frameworks to be effective and efficient
- Participate in architecture, design and code reviews to maintain our high development standards
- Mentor other engineers, defining our challenging technical culture, and helping to build a fast-growing team

A day in the life
Morning coffee in hand, you dive into Slack to catch up on overnight discussions

By mid-morning, you're deep in code, building features that help customers wrangle petabytes of data without breaking a sweat. You might be designing a new orchestration framework, squashing a gnarly concurrency bug, or whiteboarding with teammates to architect a solution that scales elegantly from startup to enterprise.

After lunch, you join a design review where ideas fly freelyYou collaborate with partner teams across AWS (think Glue, S3, Athena) to ensure Lake Formation plays nicely in the broader analytics ecosystem.

During oncall, you hop on a call with a customer or solutions architect to understand a real-world data governance challenge. These conversations fuel your work, you're not just writing code; you're solving problems that help organizations unlock the value of their data securely and at scale.

Before wrapping up, you spend time mentoring a newer engineer, reviewing code, or spiking on a crazy idea that might just work.

You close your laptop knowing you've built something meaningful !

About the team
We are builders and data people that are obsessed with our customers and take-on big challenges. We support each other and encourage different views. We also like to have a bit of fun along the way.

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 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

- 8+ years of non-internship professional software development experience
- 8+ 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
- Knowledge of system performance, memory management, and parallel computing principles
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Preferred qualifications

- Master's degree
- 6+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

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, East Palo Alto - 193,300.00 - 261,500.00 USD annually

How we rate this

Software Development Engineer III, AWS Sagemaker Lakehouse Catalog at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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

Software Development Engineer III, AWS Sagemaker Lakehouse Catalog is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $193k-$262k a year.
The role is based in US, CA, East Palo Alto.
The job was posted on July 29, 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 SystemsBig DataCloud ComputingSoftware ArchitectureSageMakerJavaPythonAWS Glue

Also common in software engineer jobs at this level

Python Java C++Kubernetes TypeScript React

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 big data was part of your work. What did you do?
Tell me about a project where cloud computing 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, Big Data, Cloud Computing, 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.

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