About the Role:

Vestiaire Collective runs a global marketplace on AWS and GCP — Kubernetes, Kafka, Terraform, Vault, Cloudflare, Datadog, a large PHP application under active modernisation, a series of microservices in different tech stacks (Goland, PHP, Node) and a fast-growing surface of AI-powered services. 

As Director of Cloud Infrastructure and Security, you will own that entire foundation. You will lead two distinct teams — Cloud Infrastructure (DevOps/SRE) and Security — and be accountable, alongside product development teams for the reliability, cost-efficiency and security posture of everything we run in production.

What you will do:

Leadership across two teams

• Lead, grow and retain two teams — Cloud Infrastructure and Security — each small, senior and high-leverage. Hire well; we cannot afford mediocre hires at this size.

• Define a joint roadmap for both teams, aligned to business priorities and risk appetite, and make explicit calls on what we will not do.

• Establish clear KPIs, SLOs and risk metrics, and report regularly to leadership on reliability, cost and security posture.

• Set the operating model: what product teams self-serve behind guardrails versus what your teams own centrally. 

• Foster a culture where reliability and security are shared accountabilities, not tickets thrown over a wall, including establishing a Security Champions model across engineering.

Cloud infrastructure, reliability and platform

• Own our AWS and GCP footprint end to end: EKS, networking, secrets (Vault), data stores (RDS/Aurora, MSK, ElastiCache, MongoDB Atlas, OpenSearch) and the edge (Cloudflare).

• Establish real reliability engineering practice: SLOs and error budgets, capacity planning, and a business continuity plan.

• Drive infrastructure-as-code maturity: Automating Terraform change application, advancing our move to GitOps (ArgoCD), and enforcing guardrails at creation time with policy-as-code (Kyverno/OPA) so provisioning is safe, self-serve and reviewable.

• Consolidate observability into a single source of truth for metrics, logs and traces.

• Improve developer experience and delivery throughput: CI/CD (Jenkins, GitHub Actions), paved roads, test environments on demand, and delivery metrics that hold up.

• Own FinOps: infrastructure cost per unit of business value, cost accountability pushed back to each team, and continued run-rate reduction. Cost discipline is a first-class objective.

• Support the modernisation of our core platform: Tech migrations, runtime and framework upgrades, and continuous database and Kubernetes upgrades.

• Attack toil systematically: automate the recurring requests, and hand safe self-service back to product teams rather than absorbing the work.

• Grow the foundations for AI-augmented engineering and operations

Security

• Own security strategy and posture across cloud, application, identity, detection and response, building and improving the governance: risk register, published roadmap, remediation SLAs, and a recurring reporting cadence for leadership.

• Strengthen cloud security posture management (CNAPP) and secure-by-default configurations across all environments.

• Improve Embedding security into the SDLC and CI/CD: establish full static-analysis and dependency-scanning coverage with clear criteria for when critical findings block a release.

• Mature vulnerability management, penetration testing and our bug bounty program into one prioritised program with SLAs and aging reports that measurably reduce risk.

• Advance identity and access management toward least privilege and zero trust: automated provisioning from groups, and periodic access reviews.

• Mature logging, detection and incident response, closing SIEM coverage gaps

• Set guardrails for safe AI adoption (shadow AI outside approved paths, data and prompt leakage, prompt injection, model abuse) and defend against AI-enabled fraud and phishing.

• Ensure compliance with GDPR, PCI DSS v4, NIS2, and CIS v8, including a maintained, reusable evidence library rather than evidence gathered on request.

• Collaboration with legal and finance teams on compliance and forensic investigation topics

• Manage third-party and supply-chain risk with vendor tiering and a recurring review cadence.

• Own the security-built services your team already runs (back-office authentication and ACL, banning/fraud tooling, phone verification) and decide what to keep, hand over or retire.

• Own endpoint security and partner closely with Corporate IT on device and identity coverage.

• Keep security awareness and training relevant to a threat landscape that now includes AI-enabled social engineering.

Who you are:

• 8+ years in engineering, with 5+ years leading infrastructure, platform, or security teams : ideally in a fast-paced scaleup or marketplace environment.

• Proven experience managing multiple teams or functions, including hiring and developing senior engineers.

• Deep, hands-on-credible expertise in public cloud (AWS strongly preferred), Kubernetes, and infrastructure-as-code (Terraform).

• Track record establishing reliability practice at scale — SLOs, incident management, on-call, capacity planning, disaster recovery.

• Demonstrable cloud cost optimisation / FinOps results at meaningful scale.

• Strong grounding in cloud and application security fundamentals — IAM, network security, secrets management, CSPM, OWASP Top 10 — and the judgement to know when to hire the depth you don't have.

• Working knowledge of compliance frameworks (GDPR, DORA, PCI DSS, NIS2) and how to turn requirements into practical controls.

• Experience leading through incidents and security events under pressure.

• Excellent communication skills: able to make a technical trade-off legible to a CFO and a risk decision legible to an engineer.

• Comfortable operating with a lean team — ruthless prioritisation, automation over headcount, pragmatism over perfection.

Our Tech Stack includes: 

• AWS cloud (primary), GCP, Kubernetes, Vault, Cloudflare, Datadog, ArgoCD, Okta. Applications are built on top of PHP 8, Golang and Node.js, using MariaDB, MongoDB and Kafka.