Top Cybersecurity Jobs

Research and exploit vulnerabilities in LLM applications and autonomous agents. Build attack tooling, agent harnesses, evaluations, benchmarks, and reproducible proofs of concept to improve AI security products. Conduct AI red teaming, offensive security testing, failure analysis, experimental validation, and exploit reporting. Collaborate with research teams and communicate technical findings, risks, tradeoffs, and remediation recommendations to technical and non-technical stakeholders.

Support enterprise customers with onboarding and implementation of the Snyk application security platform. Configure integrations across source control, CI/CD pipelines, containers, and cloud environments; troubleshoot common issues; participate in customer meetings; maintain project documentation; and explain developer-first security practices. The role includes supporting senior consultants on complex engagements, managing assigned workstreams, and developing technical consulting skills through coaching and training.

Owns end-to-end post-sales implementation of Snyk’s application security platform for enterprise customers. Leads concurrent onboarding engagements, integrates the platform with SDLC, CI/CD, source control, container, and cloud environments, manages project scope and risks, troubleshoots technical issues, and coaches customer teams on developer-first security. The role also develops repeatable implementation playbooks and collaborates with internal teams to improve customer adoption and time to value.

Secures Snyk’s GCP and AWS cloud platforms through threat modeling, IAM hardening, Kubernetes and container security, Terraform and pipeline fixes, CSPM integration, and secure configuration baselines. Uses AI coding agents and MCP integrations to scale infrastructure remediation while reviewing changes for unsafe defaults, excessive permissions, and agent-related risks. Works consultatively with platform teams to implement and measure security improvements.