Systems Development Engineer Content Automation & Learning Systems

Job description

Description
AWS Training & Certification (T&C) is seeking a Systems Development Engineer II (SysDE 2) to build and scale automation systems that improve the efficiency, resiliency, and quality of AWS learning content delivery.

In this role, you will design, implement, and operate solutions that use AI, machine learning, and automation frameworks to accelerate content creation, maintenance, and refresh workflows across AWS platforms such as Content Studio, LCMS, and Skill Builder.

You will collaborate closely with Product Managers, Software Development Engineers, and Curriculum Developers to build resilient, highly automated systems that improve metadata accuracy, automate content updates, and reduce operational effort.

This role combines deep technical problem solving with ownership of production-ready systems that enable other AWS builders to scale faster.

Key job responsibilities
* Design and deliver automation systems that simplify and scale content creation and maintenance workflows.
* Build resilient pipelines and tools integrating AWS services (Bedrock, SageMaker, Lambda, Step Functions, Glue, Athena) to automate validation, publishing, and refresh cycles.
* Identify and eliminate manual processes by creating durable, secure, and cost-efficient system mechanisms.
* Participate in architecture, design, and code reviews; contribute to operational readiness reviews (ORRs) and post-incident analyses.
* Improve operational health and reliability through instrumentation, telemetry, and monitoring dashboards.
* Collaborate with engineers and Product teams to balance short-term delivery with long-term scalability and cost efficiency.
* Contribute to documentation and best practices that raise the technical bar for automation across T&C

A day in the life
The Systems Development Engineer collaborates with Technical Program Managers, Product Managers, and Curriculum Developers to design and deliver automation systems that improve the efficiency and quality of AWS training content.

Each day involves building and maintaining AI-driven pipelines that detect stale content, automate refresh workflows, and enhance publishing reliability.

The engineer partners with internal customers across Content Studio, LCMS, and Skill Builder to reduce manual processes, increase scalability, and ensure seamless learner experiences.

They balance hands-on coding, system design, and operational excellence to make AWS content delivery faster and smarter.

About the team
Sitting within AWS Training and Certification, Core Curriculum builds and manages the world’s most complete, current, and compelling portfolio of cloud training content.

Our portfolio comprises 1,000’s of learning experiences, covering 100’s of discrete AWS services.

We build for all levels, from introductory to advanced and support global learners across 22 languages.

As a content organization, Core Curriculum is in the vanguard of the generative AI revolution with investments in AI and broader technical automation that will massively increase the coverage and reach of our training portfolio, and meet ever-increasing customer expectations of choice and personalization.

AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments.

Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services.

Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center.

You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

About AWS
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
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3+ years of systems design, software development, operations, automation, and process improvement experience
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
- Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
Preferred Qualifications
- Master's degree in Engineering, Computer Science, or a related field
- Experience including, building and maintaining data flows and pipelines
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture
- Experience developing operational processes and technologies
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification

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.

Our compensation reflects the cost of labor across several US geographic markets.

The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,200/year in our highest geographic market.

Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Amazon is a total compensation company.

Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits .

This position will remain posted until filled.

Applicants should apply via our internal or external career site.

Required Skill Profession

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