Are you excited about advancing the state of threat detection, correlation and response at scale to mitigate risk from an ever-evolving threat landscape for a diverse range of customers?
The AWS Security Hub team is looking for a highly motivated Security Engineer to join our team. In this role, you will research emerging threats to develop new criticality and posture management ideas and build high-confidence markers and rules that correlate criticality across a diverse set of conditions from large-scale data sources. You will work closely with engineering and product teams to shape the analysis, context and inference that drive visibility into the most critical threats and vulnerabilities for AWS customers operating on AWS and other cloud providers. You will also develop innovative methods utilizing the latest techniques to analyze detections at scale. Your expertise will help defend the data of Amazon's millions of customers against the most critical threats.
Key job responsibilities
Basic qualifications
- Experience evaluating threats and vulnerabilities, assigning criticality based on impact, and developing response automation
- Experience scripting with Python, Perl, Bash or PowerShell
- Experience with software development for the cloud using java and AWS Developer Tools
- Knowledge of web protocols, common attacks, and Linux/Unix tools and architecture
- Knowledge of cloud computing concepts and design considerations for AWS, Azure and GCP
- 2+ years of non academic experience in any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience
Preferred qualifications
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading and influencing your team or organization
- Experience using AI to automate security assessment work flows, implement LLMs and perform agentic threat detection and remediation
- Experience with AI-driven development and verification
A day in the life
Most days you'll be heads-down building and tuning evaluations, digging into resource analysis and log data to figure out what data markers looks like and how to reliably assess impact. You'll spend time reading up on the latest threats and turning that research into something actionable. You'll also work on advancing how we assess threats, whether that's prototyping new approaches using machine learning or generative AI, improving enrichment pipelines, or finding ways to scale what we do. It's a mix of deep technical work and close collaboration with security teams across the organization.
About the team
At AWS Security Hub, security is central to maintaining customer trust and protecting customer cloud environments. Our organization is responsible for creating and maintaining a high bar for security analysis 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 customer environments.
BASIC QUALIFICATIONS
- 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
- 2+ years of scripting, programming, and security code review in a common programming language (non-internship) experience
- 2+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship) experience
- Bachelor's degree in computer science or equivalent
- Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security
- Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or 2+ years of IT Security experience
- Knowledge of networking protocols such as HTTP, DNS and TCP/IP
- Knowledge of industry-based security vulnerabilities and remediation techniques
- Experience in scripting, programming, and security code reviewing in a common programming language (non-internship)
- Experience in troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship experience)
PREFERRED QUALIFICATIONS
- 2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience
- 2+ years of scripting, programming, or security code review in a common language, such as Python, Java or C++ experience
- Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks
- Knowledge of networking protocols such as HTTP(S), DNS, and TCP/IP
- Knowledge of networking protocols, to include HTTP(S), DNS, and TCP/IP
- Experience with AWS products and services
- Experience with programming languages such as Python, Java, C++
- Experience in scripting, programming, or security code reviewing in a common language, such as Python, Java, or C++
- Experience performing security activities across one or more phases of the software development lifecycle (SDLC), such as security design review, threat modeling, secure code review, and security testing
The 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.
USA, MA, Boston - 159,300.00 - 202,400.00 USD annually
USA, WA, Seattle - 159,300.00 - 202,400.00 USD annually
