What you'll do

Build and improve SIEM detection rules, alert pipelines, and automated response playbooks (Datadog SIEM, CrowdStrike, Cloudflare)
Contribute to incident response readiness, including IR playbooks, tabletop exercises, and forensic procedures
Support DLP strategy and data protection controls across Google Workspace, Slack, and internal tooling
Conduct cloud security assessments across AWS and Kubernetes environments
Drive application security initiatives: threat modelling, secure code review support, API testing, and security pipeline improvements
Assess and secure AI/agentic workflows across the company — reviewing prompts, preventing destructive actions, and controlling data exposure
Establish and run the vendor security assessment process — building a scalable due diligence framework for third-party onboarding

What you'll need

4–7 years in cyber security, ideally having built or significantly shaped the security function at a startup or high-growth company - you've been the person who sets things up, not just maintains them
2+ years at a regulated fintech/bank/payment company
Hands-on experience with cloud infrastructure security (AWS, Kubernetes)
Working knowledge of SIEM platforms and detection engineering - you've written detection rules, not just consumed alerts
Familiarity with application security practices: threat modelling, secure code review, CI/CD pipeline hardening, and API security testing
Experience with endpoint security tooling (EDR/XDR) and identity & access management in a SaaS-heavy environment (Google Workspace, Okta/Cloudflare Access, SSO/SCIM)
Ability to assess and secure emerging AI/agentic tooling - you understand the risks of LLM integrations, MCP servers, and automated workflows, and can define practical guardrails
Experience running or contributing to vendor security assessments and third-party due diligence
Strong written and verbal communication
Business fluent in English