Senior Security Engineer, Detection & Response - Bellevue

Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in As a Senior Security Engineer, Detection and Response you will contribute to develop, scale, and evolve Aircall’s threat detection and response capabilities. Take ownership of building detections from scratch, leading investigations, and driving the maturity of our detection program. Responsibilities

Lead end-to-end development of detection logic: from threat modeling and hypothesis to writing, testing, tuning, and deploying detection rules and alerts (across logs, telemetry, host, network, cloud).

Build detection pipelines, orchestration, triage logic, and automation for alert handling and response (e.g. SOAR, playbooks).

Conduct threat hunts proactively in corporate and production environments, discovering anomalies and attacker behaviors before they escalate.

Lead incident response: investigate, contain, remediate, and perform root cause analysis. Drive post-incident reviews and feed lessons learned back into detection strategy.

Assess and fill gaps in visibility—work with engineering teams to ensure logging, instrumentation, and context are sufficient to detect relevant threats.

Evolve detection maturity: turn simple signature-based alerts into more advanced behavioral, statistical, ML-driven, and adversary-informed detections, in line with detection engineering maturity models.

Author and maintain detection documentation, runbooks, alert definitions, tuning guidelines, and metrics.

Collaborate cross-functionally (Engineering, Product, Fraud, Privacy and Legal) to align detection and response work with product lifecycles and system architecture.

Be part of on-call rotations or threat-response rotations; escalate, coordinate, and remove blockers during high-severity events.

Stay up to date on attacker techniques (MITRE ATT&CK, red team reports, threat intel) and propose new detection patterns or responses accordingly.

Participate in hiring, interview evaluation of Security and Infrastructure engineering candidates, and team growth.

Minimum Qualifications

5+ years of hands-on experience in security operations, detection engineering, incident response, threat hunting, or similar fields (or equivalent combination).

Deep knowledge of adversarial tactics, techniques, and procedures (TTPs), threat actor behavior, kill-chain or MITRE ATT&CK framework.

Proven experience building detections from scratch (versus just tuning commercial alerts)—i.e. you can turn a hypothesis or a threat intel indicator into a production-quality detection with low false positive rate.

Hands-on experience with SIEM or log analytics platforms (e.g. Elasticsearch, Splunk, Datadog, AWS Athena, OpenSearch or equivalent), and alerting/monitoring tooling.

Proficiency with a programming or scripting language (e.g. Python, Go, or similar along with IaC - Terraform, Ansible) to build detection pipelines, automations, triage logic, or tooling

Experience in digital forensics, host-based detection, endpoint telemetry, process/network visibility, cloud observability (logs, metrics, traces).

Comfortable working in cloud-first environments (AWS, GCP, Azure) and instrumenting detection across cloud workloads, containers, serverless, etc.

Experience responding to incidents (investigating logs, creating timelines, root cause, containment) in production environments.

Familiarity with security automation / orchestration (SOAR), playbooks, response automation, and alert triage workflows.

Strong communication skills; ability to translate complex detection logic, trade-offs and risk to engineers and leadership.

High degree of autonomy, initiative, and ownership; ability to drive entire initiatives with minimal oversight.

Preferred Qualifications

Experience with data analysis, statistics, anomaly detection, or relevant ML/heuristic techniques is a strong plus.

Experience evaluating detection efficacy (precision, recall, signal-to-noise, tuning over time)

Experience evolving detection maturity models (from basic rules to advanced behavioral detections)

Open source detection tooling contributions