Senior Security Engineer, Detection & Response
Angi is hiring a Senior Security Engineer, Detection & Response for a remote role open to applicants in United States. It pays $150k-$225k a year and Level rates it ; you can apply on Angi.
Level's read on this job
- Level rates this cybersecurity role Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions AI agents among its tools and skills.
- Angi has 20 other open roles on Level.
- Posted in the last few days.
AI in this role
For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.
Angi at a glance:
Founded in 1995 as Angie’s List and rebranded in 2021
Global company with 9 brands in 8 countries and employees worldwide
Homeowners have turned to us for 300 million home projects and counting
About the team:
At Angi, security is woven into everything we build, from PCI-scoped payment flows to the AI agents now handling homeowner/pro conversations and scheduling end-to-end. Detection signal spans cloud, endpoint, identity, SaaS, and a growing set of autonomous agents. You'll own detection and response as an engineering problem: build the detections, build the automation that works them, and carry the pager for what still gets through.
While this is a remote position, we are a global company and are looking for applicants located in eastern or central time zones to align with our team's working hours.
What you’ll do:
Build and own detections across AWS (GuardDuty, CloudTrail, SecurityHub), EDR, identity, SaaS, and our AI gateway. Coverage, precision, and latency are properties we manage across a rule's lifecycle.
Own the security log pipeline, and own it as a product with consumers: audit and security logs land centrally and are exposed to the teams that need them for triage, analysis, and incident response.
Own detection on the application protection layer - account takeover, credential stuffing, and abuse patterns against a two-sided marketplace.
Build the triage layer - enrichment, correlation, containment, evidence capture - working toward a median alert that resolves without a human touching it. Use LLM and agentic tooling where it earns its place, and own the verification layer that makes that output trustworthy.
Buy the tool where a tool is right, build where it isn't, and extend where it's close. You'll ship code in a repo, not only configure consoles.
Extend detection coverage to Angi's agentic AI products: what anomalous behavior looks like for an autonomous agent holding calendar and account access - prompt injection attempts, tool-call abuse, data exfiltration through the agent surface.
Actively participate in all facets of the incident response lifecycle by participating in a 24/7 on-call rotation.
Own the technical controls InfoSec retains for detection within compliance frameworks such as PCI DSS (tamper-detection monitoring, log integrity, alerting coverage).
Partner with platform and product teams so new services ship with telemetry, threat models, and response playbooks. You will be in the room when these are designed, not brought in after the fact.
Who you are:
You have 5+ years of experience working on a security team supporting product/engineering functions, cloud infrastructure, and corporate infrastructure development
You have software engineering experience (Python preferred) and an engineering mindset for building reliable / maintainable security infrastructure to support a large organization with CI/CD software engineering practices
You are at home in the analytics and observability stack detections get measured on - Grafana, Looker, NewRelic or similar. You will build your own coverage and precision dashboards rather than filing a ticket for them.
Hands-on with AWS and infrastructure-as-code (Terraform, CloudFormation, or equivalent); working knowledge of EDR, SIEM, and SOAR platforms and their APIs.
Hands-on with containers and Kubernetes, including what detection and forensics look like on that surface.
Sound build-versus-buy judgment with no allergy to either answer. You reach for what exists when it fits, and you're comfortable wrapping, extending, or replacing it when it doesn't.
You've owned incidents end to end - page, diagnosis, fix, postmortem.
Some level of exposure to LLM/agentic system security (prompt injection, agent identity, data exfiltration via AI systems).
A daily, fluent user of AI-assisted coding/security tools. You are able to speak concretely about how you direct and verify AI output.
Strong written communication: you'll write detection documentation, postmortems, and design feedback that other engineers rely on.
Comfort executing the technical side of a compliance framework (PCI, SOX, or similar) is preferred.
Compensation & Benefits
The base salary band for this position ranges from $150,000 - $225,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location.
This position will be eligible for a competitive year end performance bonus & equity package.
Full medical, dental, vision package to fit your needs.
Flexible vacation policy; work hard and take time when you need it.
Pet discount plans & retirement plan with company match (401K).
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world.
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
#LI-Remote
How we rate this
Senior Security Engineer, Detection & Response at Angi rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in cybersecurity jobs at this level
Pay
- This job starts at
- $150k
- Typical cybersecurity job
- $160k
This posting starts 6% below the typical cybersecurity job. See cybersecurity jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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