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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer, AWS Engagement Security - **Company:** Amazon.com, Inc. - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Salary:** $136,500.0 - $194,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software System Penetration Testing, Systems Engineering, Computer Vision, Cloud Computing Security, Code Review, Databases, DevOps, Distributed Systems, Apache Hadoop, Python (Programming Language), Linux System Administration, Machine Learning, Network Administration, NoSQL, Object Detection, Reliability Engineering, Tensorflow, Data Driven Tests, Mobile Security, Software Engineering, SQL Databases, Software Testing Automation Framework, Systems Architecture, Pytorch, Large Language Models, Apache Spark, Software Security, Software Troubleshooting, Session Description Protocol Security Descriptions (SDES), Topic Modeling, Reliability of Systems, Cyber Threat Analysis, Apache Kafka, Build Process, Software Coding, GPT, Software Version Control - **Published:** May 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=33353b2cb0524faf ## About the Role Do you have experience in Version control?, * 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience * Experience in Linux systems administration and/or development * AWS certification, such as, AWS Solutions Architect, or a similar cloud certification * 3+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience * Experience with CI/CD pipelines build processes, * Experience in any combination of the following: application security frameworks, security code reviews, incident response, secure infrastructure, penetration testing, mobile security, cloud security, AI security, identity and access controls, threat modeling, cryptography, threat intelligence, or secure software development * Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) * Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling) * Experience troubleshooting and debugging technical systems, or experience that includes strong analytical skills, attention to detail, and effective communication abilities * Experience effectively communicating complex concepts through written and verbal communication * Knowledge of and proficiency in the use of Python scripting language ## Description AWS Engagement Security (EngSec) enables AWS colleagues, partners, and contractors to meet the AWS Security Bar when interacting directly with the public and our customers. We are seeking a Software Development Engineer (SDE) to build and operate large-scale, distributed systems that power EngSec services. You will lead the design, implementation, and operation of infrastructure and tooling that enable AWS teams to deliver for our customers while meeting strict security requirements. This role includes supporting AI/ML workloads, including Large Language Model (LLM) applications., As an SDE, you will own critical systems end-to-end, from architecture and implementation through deployment and operations. You will work closely with security engineers, machine learning engineers, project managers, and other SDEs. Your solutions will reduce the effort to deliver secure results, speed up and simplify security activities like code scanning and compliance analysis, and collect data about security to help AWS leaders make informed decisions., * Design, build, and maintain reliable, scalable infrastructure that leverages AI to deliver faster, more resilient services to customers. * Develop automation tools and frameworks to eliminate manual operational work * Support AI/ML applications * Own the operational health of services, including monitoring, alerting, and incident response * Troubleshoot complex system issues across the full stack, from application to infrastructure * Drive improvements in system reliability, performance, and efficiency through data-driven analysis * Participate in on-call rotation to ensure 24/7 service availability * Collaborate with security and ML teams to improve system architecture and operational excellence A day in the life Our Software Development Engineers embody Amazon's Leadership Principles, particularly: * Ownership: Take responsibility for the long-term operational health of systems * Dive Deep: Understand the AWS platform and leverage its capabilities * Deliver Results: Meet availability and performance targets consistently * Invent and Simplify: Automate manual processes and reduce operational complexity * Learn and Be Curious: Stay current with emerging technologies including AI/ML and LLMs * Are Right, A Lot: Engagement Security uses automation to uphold the security bar for a large number of diverse global teams. We must be right. * This role works from the office * This role participates in on-call rotation About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. 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