About the role
TL;DR You'll build the detection and response capability that catches attackers before they matter - across Lovable's corporate, production, and AI-agent surfaces.
What we're looking for
8+ years in detection engineering, incident response, or threat hunting, with at least 3 at staff/principal level.
Strong engineering background - you build detections as code, not as saved searches in a SIEM.
Deep experience with cloud telemetry (GCP/AWS/Cloudflare), endpoint EDR, identity logs, and modern SIEM/data-lake stacks (Panther, Elastic, Snowflake/Clickhouse).
Battle-tested incident commander who has led real high-severity incidents from first alert to public post-mortem.
Adversary-minded: comfortable with MITRE ATT&CK, threat intel, purple-teaming, and red team collaboration.
Bonus: detection for LLM/agent abuse, prompt injection at scale, or insider risk in AI-augmented engineering orgs.
What you'll do
Build the detection engineering platform - pipelines, detections-as-code, automated triage, and response playbooks.
Design and own security incident response process with 24/7 coverage, with a small, high-leverage human and agent team.
Lead incidents end-to-end: detection, containment, eradication, post-mortem, and follow-through.
Hunt proactively across corporate, production, and AI-agent surfaces - and turn every finding into a durable detection.
Define what 'world-class D&R for an AI-native company' looks like, and build it.
Our tech stack
Frontend: React and Typescript.
Backend: Golang and Rust.
Cloud: Cloudflare, GCP, AWS, multiple LLM providers.
DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform).
Data: Clickhouse, Firestore, Spanner, BigQuery.
And we’re always exploring what’s next!