Senior Security Engineer - Threat Detection

United States Digital Space LLC; United States; Remote; USD 158,000 - 239,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Threat Detection Engineer to build and operate signals, pipelines, and tooling for threat detection across cloud, endpoint, identity, email, and application telemetry.

You will own the full detection lifecycle from hypothesis to retirement, collaborate with Security Operations and Engineering teams, and push forward an AI-assisted detection platform while aligning with our growth and security goals.

Qualifications

• 6+ years in security engineering, detection engineering, or a related technology discipline.

Responsibilities

• Build, deploy, and continuously improve MITRE ATT&CK–aligned detections across cloud, endpoint, identity, email, and application telemetry, with clear false-positive thresholds.
• Own the full detection lifecycle—from hypothesis, data validation, and baselining through deployment, tuning, validation, and retirement.
• Advance our detection‑as‑code platform through version control, peer review, automated testing, CI/CD, and improved pipeline reliability and observability.
• Identify emerging threat surfaces and build integrations that strengthen data ingestion, enrichment, and coverage across internal and third‑party systems.
• Evaluate AI‑powered security capabilities, including secure MCP integrations, threat hunting, anomaly detection, and response automation.
• Turn threat intelligence into actionable detection and retrospective scanning.
• Partner closely with Security Operations during investigations, incidents, table top exercises, detection maintenance, and code pairing.
• Champion, role model, and embed the company’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Skills

Python

SQL

Security engineering

Detection engineering

Git

CI/CD

SIEM

AWS

Linux

EDR

Communication

Tools

Airflow

Databricks

Go

Terraform

Job description

Who we are

the company (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At the company, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at the company means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role

the company Security is looking for a Senior Threat Detection Engineer. This is a hands‑on engineering role: you will build and operate the signals, pipelines, and tooling that power how we discover threats against the company and our customers.

The Threat Detection team owns the detection platform end to end — the data pipelines that feed it, the detection content that runs on it, the CI/CD that ships it, and the AI‑assisted tooling that scales what a small team can cover. You will write detections, and you will also build the machinery that makes the next detection faster to develop, safer to deploy, and measurable in production.

You will report to the Director of Threat Detection and Response and work closely with Security Operations, Application Security, and Enterprise Security, as well as engineering teams across the company.

We are looking for someone who takes projects from idea to proof‑of‑concept to production, who is comfortable being the first person to build something, and who is genuinely interested in what AI can and cannot do for detection engineering — including where it introduces risk rather than removing it.

This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

In this role, you will:

• Build, deploy, and continuously improve MITRE ATT&CK–aligned detections across cloud, endpoint, identity, email, and application telemetry, with clear false-positive thresholds.

• Own the full detection lifecycle—from hypothesis, data validation, and baselining through deployment, tuning, validation, and retirement.

• Advance our detection‑as‑code platform through version control, peer review, automated testing, CI/CD, and improved pipeline reliability and observability.

• Identify emerging threat surfaces and build integrations that strengthen data ingestion, enrichment, and coverage across internal and third‑party systems.

• Evaluate AI‑powered security capabilities, including secure MCP integrations, threat hunting, anomaly detection, and response automation.

• Turn threat intelligence into actionable detection and retrospective scanning.

• Partner closely with Security Operations during investigations, incidents, table top exercises, detection maintenance, and code pairing.

• Champion, role model, and embed the company’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 6+ years in security engineering, detection engineering, or a related technology discipline.

• Strong Python and SQL skills, with experience analyzing large datasets to build and validate detections.

• Hands‑on experience with detection‑as‑code, Git‑based workflows, automated testing, and CI/CD deployment.

• Deep experience with modern SIEM platforms, including data onboarding, advanced queries, dashboards, and threat intelligence enrichment.

• Working knowledge of AWS, Linux, containers, and EDR.

• Proven ability to build systems from scratch, lead projects independently, learn new technologies quickly, and communicate technical concepts clearly through documentation, RFCs, and presentations.

An ideal candidate also has:

• Experience with data orchestration platforms such as Airflow or Databricks.

• Applied experience with LLMs, agentic frameworks, and MCP integrations, including their security risks and failure modes.

• Experience with behavioral analytics, anomaly detection, feature engineering, and model evaluation.

• Familiarity with risk‑based alerting, ChatOps, distributed alerting, and attack simulation.

• Additional experience with Go, Terraform, malware analysis, digital forensics, or FedRAMP environments.

#LI-Remote

The range of annual base salary for full‑time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job‑related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary

$157,675—$238,500 USD

Total Rewards

At the company, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high‑impact builders. Our compensation program delivers above‑market total compensation through a combination of base salary, performance‑based bonus/variable pay, and equity (for eligible roles) in a high‑growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-