Senior Security Engineer, Detection & Response

Flexport · United States · $138,196–$252,000 (stated in the posting)

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What you'll do

There is no MSSP and no tier-1 queue here. Detection & Response engineers own their detections end to end: you write them, you tune them, and your team is paged when they fire. The security team is spread across the globe with a follow-the-sun pager rotation so nobody is paged at 3am local.

The adversaries are real. The business is growing fast and the threat surface is growing with it. Defining the necessary telemetry is part of the job.

Detection engineering

• Build and tune detections across endpoint, identity, SaaS, and cloud, treating them as software: version-controlled, peer-reviewed, and shipped through the same CI/CD practices the rest of engineering uses.
• Track detection quality as measured quantities: coverage against MITRE ATT&CK, precision, time-to-detect. We don’t build-and-forget here.

Response & automation

• Own incident response: triage, contain, remediate, and write the retrospective that turns the incident into a systemic fix.
• Build automation that removes toil from investigations, and partner closely with the US-based team so context carries across time zones instead of getting lost at handoff.

Telemetry & partnership

• Define telemetry requirements for new systems before they ship, working with infrastructure and product teams to close visibility gaps rather than discovering them during an incident.
• Threat hunt proactively across the estate, converting hypotheses into either new detections or documented coverage.

You Should Have

• Typically 5–8 years of experience in detection engineering, incident response, or threat hunting, with real hands-on time writing and tuning detections. We care more about what you've built than the exact number.
• Proficiency in at least one programming language (Python, Go, or similar) and comfort writing production-grade detection and automation code.
• Experience with a modern SIEM or detection pipeline (Panther, Elastic, Splunk, or similar). What matters is that you've shipped and tuned detection logic in production.
• Practical incident response experience: you've led or played a major role in triaging and closing out real security incidents.

Nice to have

• Experience treating detections as code with CI/CD, peer review, and staged rollout.
• Experience defining telemetry contracts for systems before they ship, rather than retrofitting logging after an incident.
• A track record of critically evaluating and verifying AI-assisted work - testing, source-checking, validation - rather than trusting agent output by default. If you haven’t already spotted the em dashes in this job description and already thought about where the hiring manager (hi!) has put hands on keyboard and compared that to where they let the LLM watermarks through, you might not be the right person for the job.
• Familiarity with cloud-native and Kubernetes telemetry.
• Experience with fraud or financial-crime detection patterns.

How we work

• We stay closely aligned with teammates on other continents via Slack, video, and async docs.
• We have the latest hardware and software, including frontier AI models on day one.
• We're agile, but not dogmatic. Teams decide how they work best.

Why this role is special

• You own your detections end to end, no MSSP, no tier-1 queue, no handing your work to someone else to triage.
• The consequences here are physical, not abstract: a containment decision can stop a customs filing or freight actually moving, which makes the stakes concrete in a way a SaaS control plane rarely is.
• You'll inherit a real, established estate with legacy telemetry gaps to close, genuinely underexplored surface area, not a well-mined problem.

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