Amazon.com Inc logo

Security Engineer, Correlation and Response, AWS Security Hub

Amazon.com Inc

  • Boston, MA
  • 2 days ago

    Highlights

    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.

    Numbers & Facts

    LocationBoston, MA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    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.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Similar Jobs