Director of Cloud Infrastructure and Security
Vestiaire Collective
Director of Cloud Infrastructure and Security
Vestiaire Collective
Global marketplace for pre-owned luxury fashion
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 lead a small team of six senior individual contributors across Cloud Infrastructure (DevOps/SRE) and Security. This is a hands-on Director role: alongside setting the strategy and roadmap, you will work directly with the team on architecture, technical decisions, incidents and delivery. You will be accountable, alongside Product Development teams, for the reliability, cost-efficiency and security posture of everything we run in production.
Directly lead, develop and retain a small team of six (6) experienced engineers across Cloud Infrastructure and Security. This is a player-coach role without multiple management layers, so you will remain close to the team’s technical work and day-to-day priorities.
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.
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
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.
8+ years with a Significant experience in Infrastructure, Platform Engineering, DevOps, SRE or Cloud Security, including experience leading engineers.
You may currently be an Engineering Manager, Senior Engineering Manager or Head of who is ready to broaden your scope and step into a first Director role.
Strong practical experience with public cloud, ideally AWS, Kubernetes and Infrastructure-as-Code, with the willingness to remain close to architecture, incidents and technical delivery.
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.
AWS cloud (primary), GCP, Kubernetes, Vault, Cloudflare, Datadog, ArgoCD, Okta. Applications are built on top of PHP 8, Golang andNode.js, using MariaDB, MongoDB and Kafka.
Research shows that candidates from underrepresented backgrounds including women, people with disabilities, and other marginalized communities, are less likely to apply unless they meet 100% of the criteria.
At Vestiaire Collective, we believe diversity drives better decisions, stronger products, and more meaningful impact.
If this role excites you but your experience doesn’t align perfectly, we still encourage you to apply, your perspective could be exactly what we’re looking for.
Vestiaire Collective is proud to be an equal opportunity employer.
PS: We take candidate experience seriously, and your safety too !
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Global marketplace for pre-owned luxury fashion
Vestiaire Collective runs a global online marketplace where people can buy and sell pre-owned luxury fashion. Sellers list items and the platform handles authentication, payment, and shipping, earning revenue from commissions on each sale. It differentiates itself through strict authenticity checks, a carefully curated selection, and a large worldwide community, aiming to build trust and quality in designer goods. The goal is to create a trusted, scalable marketplace that makes high-end fashion affordable and promotes sustainable reuse of luxury items.
Explore more opportunities at Vestiaire Collective