6+ years in security operations, detection engineering, or incident response — with at least 1–2 years leading or mentoring a team
Deep hands-on experience with cloud-native environments (Kubernetes, Linux workloads, container-based infrastructure)
Strong detection engineering skills: writing and tuning rules/detections in SIEM platforms (e.g., Chronicle, Splunk, Elastic) and SQL
Experience building or operating SOAR workflows and automating response at scale (ideally with Golang and Temporal)
Working knowledge of threat intelligence frameworks (MITRE ATT&CK, Pyramid of Pain, Kill Chain) and how to operationalize them in detections
Nice to Haves
Experience with AI/ML and GPU clusters related threats
Familiarity with eBPF-based detection or runtime security tooling (Falco, Tetragon)
Background in threat hunting
What you'll be doing
Lead detection development: maintain low false-positive and false-negative rates. Work closely with alerts consumers (20+ teams) to keep noise low and signal high, ensuring they can act quickly without missing genuine threats.
Architect and operate detection coverage across our cloud and bare-metal environments
Build and extend our internal D&R tools and pipelines - onboard new logs, build and automate response runbooks
Integrate threat intelligence into detection logic and IR playbooks, tracking adversary TTPs relevant to Cloud infrastructure
Lead incident response end-to-end: scoping, containment, root cause analysis, post-incident reviews and controlling critical action items are closed to prevent future possible incidents.
Partner with Compliance and Engineering teams to detect real threats while meeting the needs of both engineers and regulators
Define and report on D&R metrics: MTTD, MTTR, detection coverage, false positive rates, etc.
Build and maintain Security Incident Response program: people, processes, tools
Build tools, runbooks, and on-call processes that scale as the company grows