Senior Security Engineer, Detection & Response - Bellevue
5 days ago
Seattle
Job DescriptionAircall is the world’s leading integrated customer communications and intelligence platform for growing businesses. Trusted by over 20,000 companies worldwide, Aircall unifies voice and digital channels into one seamless platform, offering one-click integrations with leading CRMs and over 100 business tools. With real-time, AI-powered insights and feedback, AI agents, and automation, we help sales and support teams save time on routine tasks, uncover opportunities, and deliver exceptional customer experiences. With a global team of 600+ across nine offices, Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, Mexico City, Aircall is transforming how businesses connect with their customers, driving smarter conversations, deeper relationships, and measurable success. 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)