Resilience - Security Engineer

• Step into a critical role to build, defend, and scale the security posture of our category-defining SaaS platform and internal corporate systems. As a Security Engineer, you won't just monitor alerts or patch vulnerabilities; you will take complete ownership of engineering proactive guardrails, automating incident response workflows, and securing emerging technologies like AI and machine learning. Operating at the highly collaborative intersection of Security, IT, and DevOps, you will aggressively dig into legacy processes to architect permanent, automated fixes rather than applying temporary patches. • The Mission: What you will achieve in the first 6 months • In your first six months, you will take full accountability for designing and maintaining automated response playbooks using orchestration workflows (e.g., n8n, Tines, or XSOAR) to heavily reduce manual intervention. You will pioneer our agentic security engineering efforts by developing custom SecOps applications and autonomous workflows that seamlessly triage alerts and accelerate our defense capabilities. Furthermore, you will completely own cloud infrastructure security by implementing "Infrastructure as Code" (Terraform) across our multi-cloud footprint (AWS/GCP), while establishing robust security guardrails for AI platforms and developer tools to mitigate risks like prompt injection and data leakage. • The Toolkit: • 4+ years of experience in a Security Engineering, DevSecOps, or high-level SecOps role. You must possess a relentless automation mindset with proven ability in Python, Go, or low-code orchestration platforms. • You need hands-on proficiency securing AWS or GCP services (IAM, WAF/ALB, Fargate/Lambda), deep experience with Infrastructure as Code (Terraform/CloudFormation/Pulumi) within a Git-based CI/CD workflow, and practical experience using agentic AI tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate code development and security auditing. • Experience securing "Agentic" developer tools and AI coding assistants, with a practical understanding of governing model traffic via AI Gateways and the Model Context Protocol (MCP). • Familiarity with container security, zero-trust networking (Zscaler), EDR (Crowdstrike/SentinelOne), and managing endpoint security profiles (MDM/JAMF). • The Culture: How we work • We move fast, operate with zero ego, and embrace a bias to action. You will work cross-functionally alongside DevOps and IT to seamlessly balance rigorous security requirements with developer velocity.