Amazon Web Services (AWS)
Systems Development Engineer - Content Automation & Learning Systems
Amazon Web Services (AWS), Arlington, Virginia, United States, 22201
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Systems Development Engineer - Content Automation & Learning Systems
role at
Amazon Web Services (AWS) .
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. 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.
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 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 Within AWS Training and Certification, Core Curriculum builds and manages the world’s most complete, current, and compelling portfolio of cloud training content. The portfolio includes 1,000+ learning experiences covering 100+ 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 at the vanguard of the generative AI revolution, investing in AI and technical automation to massively increase the coverage and reach of our training portfolio.
About AWS Amazon Web Services (AWS) is the world’s most comprehensive cloud platform. AWS values diverse experiences and welcomes candidates at all career stages. We are committed to creating an inclusive team culture, offering mentorship and career growth, and maintaining a healthy work/life balance.
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 with machine learning, data mining, information retrieval, statistics, natural language processing, or computer architecture
Experience developing operational processes and technologies
AWS certification, e.g., Solutions Architect, or a similar cloud certification
Equal Opportunity Employer Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Disability Accommodation 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.
Compensation This position offers a base pay range of approximately $116,300 to $201,200 per year, depending on location. Additional compensation (equity, sign‑on, and other benefits) may also be offered.
Salary Range Washington, DC: $150,000 – $170,000 per year.
Location Washington, DC.
Job ID A3113561
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Systems Development Engineer - Content Automation & Learning Systems
role at
Amazon Web Services (AWS) .
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. 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.
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 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 Within AWS Training and Certification, Core Curriculum builds and manages the world’s most complete, current, and compelling portfolio of cloud training content. The portfolio includes 1,000+ learning experiences covering 100+ 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 at the vanguard of the generative AI revolution, investing in AI and technical automation to massively increase the coverage and reach of our training portfolio.
About AWS Amazon Web Services (AWS) is the world’s most comprehensive cloud platform. AWS values diverse experiences and welcomes candidates at all career stages. We are committed to creating an inclusive team culture, offering mentorship and career growth, and maintaining a healthy work/life balance.
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 with machine learning, data mining, information retrieval, statistics, natural language processing, or computer architecture
Experience developing operational processes and technologies
AWS certification, e.g., Solutions Architect, or a similar cloud certification
Equal Opportunity Employer Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Disability Accommodation 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.
Compensation This position offers a base pay range of approximately $116,300 to $201,200 per year, depending on location. Additional compensation (equity, sign‑on, and other benefits) may also be offered.
Salary Range Washington, DC: $150,000 – $170,000 per year.
Location Washington, DC.
Job ID A3113561
#J-18808-Ljbffr