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Angi

Senior Security Engineer, Detection & Response

Angi

. Build and own detections across AWS, EDR, identity, SaaS, and the AI gateway .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $150,000 - $225,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and maintaining security infrastructure, with a strong focus on AWS, EDR, and compliance frameworks such as PCI DSS. Proficient in software engineering practices, including Python programming and CI/CD methodologies, while effectively managing incident response and security tooling.

Highest-signal resume keywords
AWS Infrastructure ManagementPython Software EngineeringCI/CD PracticesIncident Response ManagementCompliance Frameworks (PCI DSS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Security Log Pipeline ManagementApplication Protection DetectionAnalytics and Observability StacksInfrastructure-as-Code (Terraform, CloudFormation)Container and Kubernetes ForensicsLLM/Agentic System SecurityAI-Assisted Coding ToolsIncident OwnershipDetection Coverage ExtensionTechnical Detection Controls
Soft Skills
Strong Written Communication
Tools & Technologies
GrafanaLookerNewRelicEDR PlatformsSIEM PlatformsSOAR Platforms
Industry Keywords
Security InfrastructureCompliance FrameworksIncident Response LifecycleAudit and Security LogsData Exfiltration

Tech Stack

Tools & technologies
AWSCloudGrafanaKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Build and own detections across AWS, EDR, identity, SaaS, and the AI gateway
  • Own the security log pipeline as a product, centrally exposing audit and security logs for triage, analysis, and incident response
  • Own application protection detection for account takeover, credential stuffing, and abuse patterns
  • Build the triage layer for enrichment, correlation, containment, and evidence capture
  • Use LLM and agentic tooling where appropriate and own the verification layer
  • Buy, build, extend, and ship security tooling and code in a repository
  • Extend detection coverage to agentic AI products, including prompt injection, tool-call abuse, and data exfiltration
  • Participate in the incident response lifecycle through a 24/7 on-call rotation
  • Own technical detection controls required by compliance frameworks such as PCI DSS
  • Partner with platform and product teams so services launch with telemetry, threat models, and response playbooks

Requirements

What you’ll need
  • 5+ years of experience working on a security team supporting product/engineering functions, cloud infrastructure, and corporate infrastructure development
  • Software engineering experience; Python preferred
  • Engineering mindset for building reliable and maintainable security infrastructure using CI/CD software engineering practices
  • Experience with analytics and observability stacks such as Grafana, Looker, NewRelic, or similar
  • Hands-on experience with AWS and infrastructure-as-code such as Terraform or CloudFormation
  • Working knowledge of EDR, SIEM, and SOAR platforms and their APIs
  • Hands-on experience with containers and Kubernetes, including detection and forensics
  • Experience owning incidents end to end: page, diagnosis, fix, and postmortem
  • Exposure to LLM/agentic system security, including prompt injection, agent identity, and data exfiltration via AI systems
  • Daily, fluent use of AI-assisted coding/security tools; ability to direct and verify AI output
  • Strong written communication
  • Comfort executing the technical side of a compliance framework such as PCI or SOX preferred
  • Applicants located in eastern or central time zones to align with team working hours
  • Legally authorized to work in the United States

Benefits

Comp & perks
  • Competitive year end performance bonus
  • Equity package
  • Full medical, dental, vision package
  • Flexible vacation policy
  • Pet discount plans
  • Retirement plan with company match (401K)
  • Opportunity to work with sharp, motivated teammates on unique challenges