Jack & Jill
Security Engineer, Detection & Response at Doxy.me
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This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
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Job Title
Security Engineer, Detection & Response
Salary
Not Disclosed
Company Description
Doxy.me is a leading global telehealth platform trusted by over one million healthcare providers to deliver secure care across 180+ countries. As a HIPAA-regulated service, Doxy.me connects patients and providers through innovative technology and world-class design, ensuring that healthcare remains accessible and secure for millions of users worldwide.
Job Description
You will be the first dedicated Detection & Response engineer at Doxy.me, building the function from the ground up. You'll own the detection lifecycle using a detection-as-code approach, building telemetry pipelines, and responding to threats across a cloud-native AWS platform to protect sensitive patient data for millions of providers and patients worldwide.
Location
London, UK (Remote)
Why this role is remarkable
- Greenfield opportunity to shape the entire detection and response function from scratch, defining the tooling, strategy, and roadmap for a global healthcare platform.
- High-impact position where you'll protect sensitive medical data for over a million providers and their patients in a mission-driven, HIPAA-regulated environment.
- Work in a senior-heavy, autonomous team with no SOC manager, allowing you to drive engineering-led security initiatives using modern tools like Datadog and AWS.
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What You Will Do
- Own the end-to-end detection lifecycle by researching threats and writing rules as code deployed via CI/CD pipelines rather than manual SIEM configuration.
- Build and maintain critical telemetry pipelines to gain deep visibility into application, infrastructure, and identity activity across the cloud-native ecosystem.
- Lead incident response efforts, including investigation and containment, while building automated response workflows that integrate directly with AWS and identity systems.
The ideal candidate
- Proven experience in detection engineering with a strong software engineering background in Python or TypeScript, prioritizing automation over manual security operations.
- Deep technical expertise in AWS and cloud-native infrastructure, with the ability to correlate signals across complex data sources using SQL and Datadog.
- Self-directed professional comfortable with ambiguity who can partner with product teams on threat modeling to identify security opportunities early in the design phase.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
- Jack's an AI agent for job searching and career coaching. He works for you.
- Jill is the AI recruiter working for the company. She recruits from Jack's network.
- If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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