{"schemaVersion":"jobsearcher.job.v1","id":"334a2512e4bee42a282d41d5","url":"https://jobsearcher.com/jobs/334a2512e4bee42a282d41d5","canonicalUrl":"https://jobsearcher.com/jobs/334a2512e4bee42a282d41d5","title":"System Development Engineer II, AWS DC Central Operations","description":"Description\nCIAT is the unified source for Infrastructure Operations data and BI solutions across Amazon's global data center fleet. We build and run the analytics platform that Central Ops leadership uses to manage rack install, decommission, repair, logistics, capacity optimization, and network operations. The platform spans a large‑scale datalake, multiple Redshift clusters, hundreds of Airflow pipelines, hundreds of AWS accounts, dozens of production QuickSight dashboards, and thousands of active users.\n\nKey job responsibilities\n\nOwn AWS infrastructure across hundreds of accounts – cross‑account access patterns, IAM governance, service control policies, LakeFormation permissions\n\nBuild and maintain infrastructure‑as‑code (CDK/CloudFormation) for production services including LakeSQL, Validation Engine, TEMPO, Langley, CIAuth, and QuickSight\n\nBuild deployment automation and CI/CD that lets Data Engineers and BIEs ship without waiting on a SysDE – the goal is self‑service, not gatekeeping\n\nStand up GenAI platform infrastructure – Bedrock integration, QuickSight Q topic configuration, agent systems (Spaces, Topics, Knowledge Bases, Actions), cross‑account data access for AI workloads\n\nDrive security and compliance – Mirador/AppSec findings, patching, least‑privilege IAM, security posture across production accounts\n\nMentor junior SysDEs – break down complex problems into implementable pieces, review CRs, coach on architecture and operational thinking\n\nReduce KTLO through automation, legacy system migration (Hammerstone → Airflow/NAWS), and better tooling\n\nA day in the life\nYou might start the day investigating why a cross‑account LakeFormation permission is blocking a QuickSight data source, then write a CDK construct so the same misconfiguration can't happen again. Review a CR from a teammate building a Lambda for automated QuickSight group provisioning. Pair with a DE to figure out why their Airflow DAG can't reach a Glue catalog in another account. After lunch, design the infrastructure for a new Bedrock‑powered feature in Langley, or write a runbook for something you've seen break twice.\n\nThe through‑line\nYou build systems that scale through automation, not through you personally doing things. When something breaks, you fix it and then fix the system. You're always asking “how do I make this self‑service so I'm not the bottleneck?”\n\nBasic qualifications\n\nExperience in automating, deploying, and supporting large‑scale infrastructure\n\nExperience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust\n\nExperience with Linux/Unix\n\nExperience with CI/CD pipelines and build processes\n\n3+ years of non‑internship professional software development experience\n\n2+ years of designing or architecting new and existing systems (design patterns, reliability, and scaling)\n\nKnowledge of systems engineering fundamentals (networking, storage, operating systems)\n\nPreferred qualifications\n\nExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\n\nExperience with enterprise‑scale infrastructure or development‑based cloud programs/projects in a related industry\n\nExperience contributing to the definition and implementation of automation opportunities within an operations environment\n\nExperience in Redshift, or experience in any Big Data architecture and experience in technical support\n\nExperience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage\n\nExperience architecting/operating solutions built on AWS\n\nExperience in mentoring, leading, or managing more junior engineers\n\nExperience with large distributed IT systems\n\nEqual‑opportunity statement\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nDisability accommodation\nOur 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.\n\nBenefits & Compensation\nThe 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.\n\nUSA, OH, COLUMBUS – 129,200.00 – 174,800.00 USD annually\n\nUSA, WA, Seattle – 129,200.00 – 174,800.00 USD annually\n\n#J-18808-Ljbffr","company":"Amazon","rawCompany":"amazon","city":"Seattle","state":"WA","isRemote":false,"isActive":true,"createdAt":"2026-06-20T04:01:20.068Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"System Development Engineer II, AWS DC Central Operations","description":"Description\nCIAT is the unified source for Infrastructure Operations data and BI solutions across Amazon's global data center fleet. We build and run the analytics platform that Central Ops leadership uses to manage rack install, decommission, repair, logistics, capacity optimization, and network operations. The platform spans a large‑scale datalake, multiple Redshift clusters, hundreds of Airflow pipelines, hundreds of AWS accounts, dozens of production QuickSight dashboards, and thousands of active users.\n\nKey job responsibilities\n\nOwn AWS infrastructure across hundreds of accounts – cross‑account access patterns, IAM governance, service control policies, LakeFormation permissions\n\nBuild and maintain infrastructure‑as‑code (CDK/CloudFormation) for production services including LakeSQL, Validation Engine, TEMPO, Langley, CIAuth, and QuickSight\n\nBuild deployment automation and CI/CD that lets Data Engineers and BIEs ship without waiting on a SysDE – the goal is self‑service, not gatekeeping\n\nStand up GenAI platform infrastructure – Bedrock integration, QuickSight Q topic configuration, agent systems (Spaces, Topics, Knowledge Bases, Actions), cross‑account data access for AI workloads\n\nDrive security and compliance – Mirador/AppSec findings, patching, least‑privilege IAM, security posture across production accounts\n\nMentor junior SysDEs – break down complex problems into implementable pieces, review CRs, coach on architecture and operational thinking\n\nReduce KTLO through automation, legacy system migration (Hammerstone → Airflow/NAWS), and better tooling\n\nA day in the life\nYou might start the day investigating why a cross‑account LakeFormation permission is blocking a QuickSight data source, then write a CDK construct so the same misconfiguration can't happen again. Review a CR from a teammate building a Lambda for automated QuickSight group provisioning. Pair with a DE to figure out why their Airflow DAG can't reach a Glue catalog in another account. After lunch, design the infrastructure for a new Bedrock‑powered feature in Langley, or write a runbook for something you've seen break twice.\n\nThe through‑line\nYou build systems that scale through automation, not through you personally doing things. When something breaks, you fix it and then fix the system. You're always asking “how do I make this self‑service so I'm not the bottleneck?”\n\nBasic qualifications\n\nExperience in automating, deploying, and supporting large‑scale infrastructure\n\nExperience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust\n\nExperience with Linux/Unix\n\nExperience with CI/CD pipelines and build processes\n\n3+ years of non‑internship professional software development experience\n\n2+ years of designing or architecting new and existing systems (design patterns, reliability, and scaling)\n\nKnowledge of systems engineering fundamentals (networking, storage, operating systems)\n\nPreferred qualifications\n\nExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\n\nExperience with enterprise‑scale infrastructure or development‑based cloud programs/projects in a related industry\n\nExperience contributing to the definition and implementation of automation opportunities within an operations environment\n\nExperience in Redshift, or experience in any Big Data architecture and experience in technical support\n\nExperience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage\n\nExperience architecting/operating solutions built on AWS\n\nExperience in mentoring, leading, or managing more junior engineers\n\nExperience with large distributed IT systems\n\nEqual‑opportunity statement\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nDisability accommodation\nOur 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.\n\nBenefits & Compensation\nThe 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.\n\nUSA, OH, COLUMBUS – 129,200.00 – 174,800.00 USD annually\n\nUSA, WA, Seattle – 129,200.00 – 174,800.00 USD annually\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T04:01:20.068Z","dateModified":"2026-06-20T04:01:20.068Z","hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"334a2512e4bee42a282d41d5"},"url":"https://jobsearcher.com/jobs/334a2512e4bee42a282d41d5"}}