We make software that helps patients and cosmetic medical clinics diagnose, plan, and visualize appearance improvements. Our platform is used by clinics worldwide with an online fan base of 2 million+ and quickly growing.
Unlike typical cloud-only startups, we've built a cost-optimized hybrid infrastructure that combines AWS CDN delivery, bare metal compute, Kubernetes clusters, and self-hosted internal tools, saving significantly on compute while maintaining enterprise-grade security and performance.
About the Role
We're looking for a Mid-Senior DevOps Engineer to establish and lead our DevOps culture from the ground up in our London headquarters. This isn't just about maintaining infrastructure, you'll be setting company-wide policy, building security-hardened environments, and creating the documentation and processes that will scale with us.
In short, you will be guiding the technical team on how to ensure our Production systems stay robustly online to serve our many customers.
What You'll Build
Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads
CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging
Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure
Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management
Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments
Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads
Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability
Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems
What You Bring
5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
Hybrid infrastructure expertise: Experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
Kubernetes production experience: Deep knowledge of K8s cluster design, operations, and scaling
Networking mastery: Strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures (Tailscale, Wireguard, or similar)
Security-first mindset: Experience with security compliance, key management, IAM policies, and hardening production systems
CI/CD expertise: Hands-on experience building robust pipelines (CircleCI, Jenkins, GitHub Actions, or similar) for build testing before deployment
Infrastructure as Code: Proficiency with Terraform, Ansible, or similar tools
Scripting & automation: Strong Python, Bash, or Go skills for tooling and automation
Policy & documentation: Ability to establish best practices and document them clearly for team adoption
Leadership mentality: Comfortable setting standards and directing technical decisions, not just executing them
Technologies We Use
Cloud: AWS (CDN, S3, IAM)
Compute: Bare metal servers, Kubernetes (transitioning from bare metal)
Networking: Tailscale/Wireguard for mesh topology, zero-trust architecture
CI/CD: CircleCI or Jenkins
Containerization: Docker, Kubernetes
IaC: Terraform
Monitoring: Grafana, Sentry, Glance
Why QOVES?
Ownership & Impact: You'll establish the DevOps foundation and policy that scales with the company.
Profitable & Growing: We're VC-backed and profitable, meaning sustainable growth and job security
Real-World AI: Work on infrastructure powering actual AI/M
