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# Senior Software Engineer - CTJ - Poly

- **Company:** Amazon.com, Inc.
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Code Review, Continuous Integration, Distributed Systems, Python (Programming Language), Cloud Services, Azure Machine Learning, Product Software Implementation Methods, Datadog, Google Cloud, GitHub Copilot, Information Technology, Deployment Automation, Codebase, Docker, Service Stack, Programming Languages
- **Published:** September 13, 2026
- **Apply:** https://www.careerjet.com/job/usdb3f293f5f74e9d41bf488bf7de0507d/eaa

## About the Role

design discussions, code reviews, and documentation, sharing approaches and lessons that other services and teams can apply. Evaluate and apply approved AI-assisted development tools, including GitHub Copilot, to improve development workflows while maintaining security and engineering quality. Embody our culture and values. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. government security screening requirements are required for this role. but are not limited to the following specialized security screenings: The successful candidate must have an active U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph. Failure to maintain or obtain the appropriate U.S. Government clearance and/or customer
screening requirements may result in employment action up to and including termination. Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment. Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance Experience designing, developing, and operating production cloud services or distributed systems using C#, Python, or another general-purpose
programming language. Demonstrated ability to become productive in unfamiliar codebases and apply software engineering fundamentals across different services, architectures, or technology stacks. Experience making architectural tradeoffs involving reliability, scalability, security, and maintainability, including understanding dependencies between systems. Experience deploying or troubleshooting containerized services using technologies such as Docker and Kubernetes on Azure, AWS, Google Cloud, or comparable platforms. Experience building reusable deployment automation, CI/CD pipelines, testing frameworks, or observability tooling that supports multiple services. Experience diagnosing complex issues across application, platform, and infrastructure boundaries and collaborating with other teams to resolve them. Experience leading technical delivery of projects with cross-team dependencies and helping other engineers succeed through mentoring, design reviews, and code reviews.

## Description

Lead the design and hands-on implementation of software and infrastructure improvements across the team's portfolio of Azure AI services in air-gapped and sovereign environments. Own engineering initiatives from problem definition and technical design through testing, rollout, and operational follow-through, incorporating customer feedback and managing risks and dependencies. Work across multiple codebases and architectures, partnering with product teams to integrate capabilities and resolve challenges involving service dependencies, networking, identity, and infrastructure. Develop reusable automation, deployment tooling, release validation, and observability that improve reliability and engineering efficiency across multiple services. Participate in the team's on-call rotations, investigate issues across the supported service portfolio, and coordinate with partner teams to restore service and deliver fixes that prevent recurrence. Mentor engineers and provide technical guidance through


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