Software Development Engineer, AWS Engagement Security
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- 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
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
