5-8 years of experience securing cloud infrastructure, preferably with production platforms on GCP or AWS.
Deep knowledge of GCP security services and a good understanding of AWS IAM.
Strong grasp of GCP IAM principles, including resource hierarchy and least privilege design.
Practical experience with Kubernetes and container security, especially on GKE.
Familiarity with infrastructure as code tools like Terraform and CI/CD practices.
Solid understanding of DevSecOps principles, including threat modeling and continuous monitoring.
Experience using AI coding agents for infrastructure tasks.
Responsibilities
Threat model Snyk's cloud infrastructure to identify security requirements and negotiate changes with platform teams.
Utilize AI coding agents to draft Terraform, Kubernetes, and pipeline changes for security gaps.
Run agent-driven fixes at scale across repositories, ensuring changes are scoped for team review.
Maintain guidance for AI agents to ensure consistent output aligned with Snyk's standards.
Connect AI agents to live cloud data and APIs for grounded fixes.
Critically review AI-generated infrastructure changes for safety and compliance.
Harden GCP IAM and improve Kubernetes security, focusing on best practices and secure configurations.
Benefits
Flexible working hours and remote work options.
Opportunities for professional development and training.
Collaborative and innovative team environment.
Access to cutting-edge technology and tools.
Health and wellness programs.
Full Job Description
Job Summary
Snyk's Product Security team works consultatively with the engineering teams that build and run our cloud platform: we identify the security requirements, agree together on what needs to change, and the owning teams implement it. As a Senior Product Security Engineer (Platform), you'll pair deep GCP and AWS infrastructure experience with AI coding agents to turn threat models into concrete Terraform, Kubernetes, and pipeline fixes, then work directly with platform teams to get those fixes merged. The goal is simple to state and hard to do well: make the secure option the easy option for the engineers building Snyk's platform.
About the Team
You'll join Snyk's Product Security team, which operates as an advisor rather than an owner: the cloud infrastructure teams retain ownership and operation of their systems, and Product Security's job is to find what needs to change and make that change easy to ship. The team sits close to Snyk's platform and infrastructure organization and is increasingly built around AI agents doing real infrastructure work, not just reviewing someone else's.
What You'll Do
Threat model Snyk's cloud infrastructure across GCP and AWS to identify the security requirements platform teams need to meet, then negotiate the resulting changes directly with the teams that own the systems.
Use AI coding agents (for example Claude Code) to draft the Terraform, Kubernetes, and pipeline changes that fix identified security gaps, and raise them for the owning team to review and merge.
Run agent-driven fixes at scale across many repositories, scoping every change so the owning platform team can review and merge it with confidence.
Write and maintain the guidance AI agents rely on (skills, prompts, instruction files, security baselines) so agent output consistently matches Snyk's standards.
Connect agents to live cloud, CSPM, and ticketing data through MCP servers, command-line tools, and provider APIs so their fixes are grounded in the real environment.
Review AI-generated infrastructure changes critically: catch invented resources, unsafe defaults, and IAM permissions scoped wider than they need to be.
Harden GCP identity and access management, including the resource hierarchy, IAM roles and conditions, service accounts and workload identity federation, and organization policy constraints, plus the AWS IAM equivalent.
Improve Kubernetes and container security, primarily on GKE: cluster hardening (private clusters, Autopilot), RBAC, admission control, workload identity, network policy, and secure container image pipelines (Artifact Registry, Binary Authorization).
Add automated security testing and CSPM tooling to CI/CD and GitOps pipelines, then help teams triage and fix what those tools surface.
Benchmark infrastructure against secure configuration baselines such as the CIS Google Cloud Foundation Benchmark, and against the infrastructure controls in frameworks like ISO 27001 and NIST 800-53.
Limit the risks AI agents themselves introduce: prompt injection, over-broad permissions, leaked secrets, and changes made without review.
Measure whether agent-driven fixing is actually working across teams, and improve the approach as you learn what does and doesn't land.
What you'll bring
5-8 years running or securing cloud infrastructure, ideally having built and operated production platforms on GCP or AWS before moving into security.
Deep, hands-on GCP knowledge, including its security services, plus a good working knowledge of AWS; equivalent AWS IAM depth is a bonus.
Strong grasp of GCP IAM: resource hierarchy (organization, folders, projects), IAM roles and conditions, service accounts and workload identity federation, organization policy constraints, and least privilege design.
Practical Kubernetes and container experience, primarily GKE: cluster hardening (private clusters, Autopilot), RBAC, admission control, workload identity, network policy, and secure container images. EKS experience is also welcome.
Comfort with infrastructure as code (for example Terraform) and automated deployment: CI/CD pipelines and GitOps.
Solid DevSecOps practice: threat modeling, early shift-left testing, and continuous monitoring, plus the judgment to turn that into concrete infrastructure changes.
Confidence using AI coding agents (for example Claude Code) day to day, including writing the guidance and prompts that keep their output reliable at scale.
A critical eye for AI-generated infrastructure output: able to spot invented resources, unsafe defaults, and overly broad IAM permissions before anything ships.
Comfort working consultatively: influencing and negotiating changes with teams who own and run the infrastructure, rather than owning it yourself.
Nice to have: application security knowledge (for example code review, OWASP Top 10), or experience with Snyk's products or similar security testing tools.
About Snyk
Snyk is a software security company that helps businesses find and fix vulnerabilities in their code. The company's software uses machine learning and other advanced techniques to identify security risks in code, and provides developers with tools to fix those issues before they become a problem. Snyk's software is used by thousands of businesses around the world, including some of the largest companies in the technology industry. The company was founded in 2015 and is headquartered in London, England.
