Devops Team Lead

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The opportunity Our rapid growth into new verticals and markets presents a fantastic opportunity to evolve our platform. We are building on our initial successes by transitioning to a highly scalable architecture that seamlessly supports our expanding customer base across diverse industries. It’s an engineering opportunity to turn a carefully operated platform into a Kubernetes-native, self-service product. The goal is to serve internal customers first and deliver at high velocity with safe, capable self-service solutions aligned with the best practices of platform engineering. It's a leadership opportunity in equal measure: you'll build and grow the team that owns it, and have an impact on how platform engineering is done here as the company scales. What you'll own Self-Service Enablement: Empower cross-functional teams with secure, automated pathways that accelerate development while maintaining organizational standards. Architectural Modularization: Evolve our infrastructure into a decoupled, scalable architecture that supports rapid iteration and independent service lifecycles. Unified Infrastructure Management: Implement a rigorous "Everything as Code" strategy, treating infrastructure, policy, and configuration with the same standards as application software. Proactive Reliability: Foster a culture of operational excellence through robust observability, clear Service Level Objectives, high operational hygiene and safety. What success looks like: In 6 months: Lead the transformation to a self-service infrastructure platform. Target a 30% reduction in deployment lead times and a 50% increase in self-service adoption among R&D teams. Implement platform-wide observability and SLO monitoring to ensure 99.9% uptime for core services. In 12 months: Evolve the Platform Engineering team into a high-scale, autonomous unit that sets the standard for engineering excellence. Define technical domain ownership for core infrastructure and scale the global team.