An overview of this role

You'll join the growing Signals Engineering team at GitLab, responsible for building and maintaining a best-in-class signal development and detection engineering program. If you're passionate about writing threat detections, hunting for potentially malicious patterns of behavior, and closing detection gaps, this team is for you.

We focus on writing, maintaining, and testing our library of threat detections with an emphasis on automation, LLM-aided efficiencies, and behavioral analysis over atomic indicators. If MITRE ATT&CK, The Pyramid of Pain (or Summiting the Pyramid), Risk Based Alerting, and writing SIEM queries excite you, we'd love to talk.

Bonus points if you have experience writing SaaS application detections, double bonus if that application is GitLab. This role is well-suited for someone with SOC, detection engineering, or incident response experience, or someone responsible for maintaining GitLab with an interest in moving into security.

Find out more about the Signals Engineering team and some of our publications:

• Signals Engineering

• Unveiling the GUARD framework to automate security detections at GitLab

• Automating cybersecurity threat detections with GitLab CI/CD

What you’ll do  

• Identify MITRE ATT&CK and top threat actor detection gaps, then write behavioral detections to close them

• Use SIEM or data lake platforms like Splunk or Elastic to write and troubleshoot threat detections

• Collaborate with peer GitLab teams to identify and close security observability improvement opportunities

• Partner with incident response, red team, and threat intelligence teams to cross-functionally improve GitLab's detection program and coverage

• Use, maintain, and build new Detection-as-Code (DaC), AI, and process efficiency automations for the signals engineering program

What you’ll bring 

• An understanding of the GitLab application (bonus points if you're comfortable detecting and hunting for attacks against GitLab or if you've maintained GitLab yourself)

• SOC, incident response, or detection engineering experience

• SIEM or security data lake detection and query experience

• A proactive approach to detecting potentially malicious patterns and collaborating with incident response to complete incident RCAs and identify new detection opportunities

• An interest in cloud technologies such as GKE, AWS, GCP, and other cloud native services (PaaS and SaaS)

• An interest in learning how AI can be used for detection engineering

• An interest in learning advanced detection capabilities, such as Detection-as-Code, signal vs detection development, risk-based alerting, and behavior analytics

About the team

Signals Engineering is a new team within the Security Division at GitLab, focused on detecting suspicious and malicious events across GitLab and our SaaS operating environments. The team works closely with peer teams in Security Operations to simulate attack patterns, respond to incidents, and consume threat intelligence. We also collaborate with engineering teams across GitLab to improve security observability capabilities for the GitLab product.