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Detection Engineer Jobs in New York (NOW HIRING)

The Role: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on ...

New

Detection and Response Engineer

New York, NY · On-site

$150K - $270K/yr

The Role: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on ...

THE ROLE: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on ...

New

The Role We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on ...

New

Security Engineer

Manhattan, NY · On-site

$120 - $160/hr

Experience as a security engineer, detection engineer, or similarly hands-on engineer in a technically demanding environment. * Strong software-engineering skills in Python, Go, Ruby, or a similar ...

Showing results 21-40

Detection Engineer information

See New York salary details

$12K

$171K

$210.5K

How much do detection engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for detection engineer in New York is $170,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $156,337.00 and $188,589.00 per year, depending on experience, location, and employer.

What does a detection engineer do?

A Detection Engineer is responsible for identifying, analyzing, and mitigating security threats by developing detection rules, monitoring security systems, and responding to potential incidents. They work with security tools like SIEMs, EDRs, and IDS/IPS to detect malicious activity and improve threat detection capabilities. Additionally, they collaborate with security teams to enhance defensive strategies and automate detection processes.

What are the key skills and qualifications needed to thrive as a detection engineer?

To thrive as a Detection Engineer, you need strong analytical skills, a solid understanding of cybersecurity principles, and experience with threat detection and response, often supported by a degree in computer science or a related field. Proficiency with security information and event management (SIEM) tools, intrusion detection/prevention systems, and certifications like GIAC or CISSP are commonly required. Attention to detail, proactive problem-solving abilities, and effective communication enhance effectiveness in this role. These skills are crucial as Detection Engineers must accurately identify security threats, collaborate with teams, and minimize potential risks to the organization.

What kind of projects or tasks does a detection engineer typically work on?

As a Detection Engineer, you can expect to work on designing, implementing, and refining security detection strategies to identify potential threats and vulnerabilities in company systems. Daily responsibilities often include developing detection logic, analyzing security alerts, conducting threat hunting exercises, and collaborating with incident response teams. You may also work closely with other cybersecurity professionals to evaluate the effectiveness of existing security measures and recommend improvements. This dynamic environment offers opportunities to work on complex technical challenges while directly contributing to the organization’s overall security posture.

What are the most commonly searched types of Detection Engineer jobs in New York?

The most popular types of Detection Engineer jobs in New York are:

What cities in New York are hiring for Detection Engineer jobs?

Cities in New York with the most Detection Engineer job openings:

Infographic showing various Detection Engineer job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $170,987 per year, or $82.2 per hour.

Detection and Response Engineer

Mixpeek

Manhattan, NY • On-site

$140 - $190/hr

Other

Posted yesterday

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Job description

About Us:

AI needs a new infrastructure layer. We're building it at Modal.

Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.

Our customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub‑second container starts, and native storage, so it's simple to serve low‑latency inference, fine‑tune models, and access production‑ready sandboxes at scale.

We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.

Our team includes creators of popular open‑source projects (e.g.,Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role:

We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform.

This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness.

You’ll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient.

What You'll Work On: Detection Engineering
  • Design and build high‑fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems
  • Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents
  • Improve visibility across cloud infrastructure, containers, identity systems, and production services
Incident Response
  • Lead or participate in investigations spanning production infrastructure, cloud environments, and internal systems
  • Build playbooks and automation that reduce investigation time and improve response consistency
  • Drive post‑incident improvements that eliminate entire classes of future incidents
Security Tooling & Automation
  • Build internal tooling that improves detection, investigation, and response workflows
  • Leverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry
  • Improve the collection, quality, and usability of security telemetry across the platform
Engineering Partnership
  • Partner with engineering teams to ensure new systems are observable and secure by default
  • Help teams instrument services with the telemetry needed for effective detection and response
  • Drive security improvements that make the platform easier to defend over time
What We're Looking For:
  • Experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus
  • Strong software engineering skills with experience building production systems
  • Experience investigating security incidents in cloud‑native or distributed environments
  • Familiarity with modern cloud infrastructure, Kubernetes, Linux, and networking
  • Experience building detections using logs, telemetry, behavioral signals, or large‑scale event data
  • Strong SQL skills for investigating security events and developing detections
  • Interest in applying AI and LLMs to detection, investigation, and response, including understanding emerging threats involving AI‑powered systems
  • Strong written and verbal communication skills
Preferred Qualifications:
  • Experience building AI‑or LLM‑powered security tooling
  • Experience with SIEM, SOAR, or EDR platforms
  • Experience with Kubernetes security or large‑scale cloud infrastructure
  • Experience with threat hunting, malware analysis, or digital forensics
  • Experience contributing to security operations in a high‑growth engineering organization
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