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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # System Development Engineer, Amazon Leo - **Company:** Amazon.com, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Experienced - **Salary:** $129,200 - $174,800 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, User Authentication, Authentication Protocols, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Computer Programming, Software Design Patterns, Linux, Distributed Systems, Identity and Access Management, IDoc, Python (Programming Language), Machine Learning, SAP ERP, OAuth, Open Data Protocol, OpenID, Systems Development Life Cycle, Openid Connect, SuccessFactors, Ruby, Azure Machine Learning, Runbook, Security Assertion Markup Language (SAML), SAP (Applications), SAP Project System, Single Sign-On, Transaction Data, Rust (Programming Language), SSL Certificate Management, Enterprise Software Applications, Load Balancing, Chatbots, System Availability, SAP BAPI, Amazon Virtual Private Cloud (VPC), Agentic-AI, Cloudformation, Event Driven Architecture, SAP S/4HANA, SAP Ariba, Build Process, Functional Programming, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Golang - **Published:** November 7, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28169142/System-Development-Engineer-Amazon-Leo-Washington-Bellevue-7375 ## About the Role Experience in automating, deploying, and supporting large-scale infrastructure - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with Linux/Unix - Experience with CI/CD pipelines build processes - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Familiarity with AWS core services (EC2, Lambda, S3, IAM, CloudFormation, or CDK). - Exposure to authentication protocols[JL4.1] (SAML 2.0, OAuth 2.0, OIDC) and certificate management., Experience with distributed systems at scale - 5+ years of experience in systems development or cloud infrastructure engineering. - Experience with AWS infrastructure services (VPC, EC2, Lambda, CDK/Terraform, CloudFormation). - Familiarity with authentication and identity management (IAM, SSO, SAML 2.0, OAuth 2.0, OpenID Connect). - Exposure to certificate management using AWS Certificate Manager, Private CA, and TLS/mTLS automation. - Experience with SAP on AWS (S/4HANA, BTP, Ariba) and SAP integration patterns (RFC, IDoc, OData). - Familiarity with AWS AI/ML services[JL5.1] (Bedrock, SageMaker, Textract) applied to enterprise workflows. - Exposure to AI/ML agent frameworks or conversational AI platforms. - Familiarity with load balancing technologies (ALB/NLB a plus) ## Description The Role: In this role, you will be a member of the team building and operating AWS infrastructure that supports the organization's business services. You will contribute to the infrastructure support for integrations and multiple SAP S/4HANA systems, maintain infrastructure as code (IaC) to provision, configure, and maintain secure, scalable, and reliable cloud environments. Our ideal candidate has solid knowledge of integration patterns, authentication and certificate management, and a desire and ability to work in a fast-paced, collaborative environment., Contribute to developing and delivering scalable microservices and APIs integrating AWS services with SAP systems (S/4HANA, Ariba, SuccessFactors) using protocols such as RFC, BAPI, IDoc, OData, and REST. Help maintain infrastructure as code (IaC) to provision and manage[JL1.1] the AWS infrastructure (EventBridge, SQS, SNS, Step Functions) required to support event-driven architectures and SAP integration pipelines (BTP, Integration Suite), per solution specifications. Troubleshoot and resolve integration failures across distributed systems, helping ensure high availability and data consistency. Implement and manage authentication/authorization mechanisms (SAML 2.0, OAuth 2.0, OIDC) and identity provider configuration enabling secure SSO in hybrid environments. Assist with Certificate lifecycle management (provisioning, renewal, rotation, revocation) using ACM and AWS Private CA, including monitoring, alerting, and compliance with security standards (e.g., mTLS). Participate in on-call rotations, contribute to root cause analysis, and help maintain operational dashboards, alarms, and runbooks to improve reliability and cost efficiency. Collaborate with SAP Basis, security, and product teams to align on requirements and delivery. Work closely with the offshore support team to coordinate issue triage and resolution, provide clear handoffs, share technical context, and improve support processes across time zones. Support the integration of AI/ML capabilities into SAP workflows using Bedrock, SageMaker, Textract, and Comprehend for intelligent automation (document processing, conversational interfaces, forecasting). Collaborate with data engineers to help build pipelines feeding SAP transactional data[JL2.1] into ML models for anomaly detection and process optimization. A day in the life This is an excellent opportunity to join Amazon Leo's world class technical team working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative programs. About the team You will be joining a team of engineers responsible for building and operating the cloud infrastructure and integrations that power Amazon Leo's enterprise applications, including SAP S/4HANA and AI-driven workflows on AWS. Our work directly supports the mission of delivering global broadband access through a constellation of 3,236 satellites. We value curiosity, ownership, and collaboration; our engineers regularly contribute to architecture decisions, mentor peers, and explore emerging AWS services like Bedrock and SageMaker. You'll have the opportunity to work across distributed systems, security, and machine learning in a supportive, growth-oriented environment.