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Amazon Web Services (AWS)

Systems Development Engineer - Content Automation & Learning Systems

Amazon Web Services (AWS), Bellevue, Washington, us, 98009

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Overview

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. 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 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.

Base pay

Base pay range: $116,300.00/yr - $201,200.00/yr

Key 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.

Day-to-day 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.

Team and context 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 includes thousands of learning experiences across hundreds of AWS services, supporting global learners across multiple languages. The team is at the vanguard of generative AI investments to increase coverage and reach of our training portfolio.

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 debugging skills

Knowledge of concepts such as 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 building and maintaining data flows and pipelines

Experience in machine learning, data mining, information retrieval, statistics, natural language processing, or 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. If you require a workplace accommodation during the application and hiring 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 factors including market location and may vary based on knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total package, in addition to 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.

Company

- Amazon Web Services, Inc. Job ID: A3113561

Job details

Seniority level: Not Applicable

Employment type: Full-time

Job function: Quality Assurance, Information Technology, and Engineering

Industries: IT Services and IT Consulting

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