Platform Tech Lead

EggAI · Full-time · Remote (EU only) The Role You will be the technical lead on our infrastructure and platform engagements: the foundations our client deliveries run on. This is a tech lead role, not a management role away from the keyboard . You are accountable for the technical delivery from the architecture to the timeline, passing through the quality standards. The role is client facing. You are the technical voice in front of the client's architects and engineers, and you turn what they need into something a small team can actually build. You will work daily with infrastructure engineers and a project manager, set the direction for the engineers alongside you, and solve hard problems with EggAI's head of engineering. The people management side of the role has active support from the head of engineering whenever you need it. What You'll Own Kubernetes platform architecture The architecture of our Kubernetes-based platform, defined in Terraform Cluster design, workload deployment and lifecycle, rollback, multi-tenancy The standards and golden paths delivery teams build on, so they don't reinvent them per project Technical delivery The technical plan for the engagement: architecture, sequencing, and what "done" means Breaking the work down with the project manager, and being honest about estimates and risk Accountability for what the team ships — technical decisions, quality and timeline Leading the team Setting direction for the infrastructure engineers alongside you Raising the bar through code and design review, mentoring, and clear written design Still shipping yourself — you keep your hands on the system The client relationship Holding the technical conversation with the client's architects and engineers Translating what the client needs into a plan the team can execute Defending trade-offs and explaining constraints, in writing and in the room You will also contribute to — but do not own alone — the reliability and compliance posture of what we run: SLOs and incident response, cost control, EU data residency requirements, and the audit trails our regulated clients need. What We're Looking For Deep Kubernetes experience in production — cluster design and operation, not just deploying into someone else's cluster Infrastructure as Code in production — Terraform or equivalent, owned over time rather than written once Has led the technical delivery of a platform or infrastructure project — set the direction, led a small team of engineers, and was accountable for the outcome Senior/Staff-level infrastructure, platform or SRE background — strong fundamentals in reliability, observability, and incident ownership Comfortable in front of a client: can hold a technical conversation with the client's architects and stand behind a decision Platform-thinking mindset: builds for internal customers, not just operations tasks You think about blast radius before you ship Clear written communication — design docs, trade-offs, post-incident reviews Nice to have Consulting or professional-services background, delivering infrastructure projects for external clients Experience in regulated industries (finance, banking, health data), where audit trails and compliance constraints shape the design Prior experience with AI/ML or agentic workloads in production EU sovereign cloud, data residency or public sector infrastructure experience Experience growing a platform team from a small base About EggAI EggAI is an enterprise-focused generative AI company on a mission to help large organizations move AI solutions from prototyping into production. We specialize in building safe, reliable, and scalable AI systems that deliver real business impact. We work at the cutting edge of AI technology, implementing agentic systems, RAG (Retrieval-Augmented Generation) architectures, and autonomous AI agents that scale from task automation to workforce automation. Our proprietary frameworks—including the EggAI Meta Framework for agentic systems and EggAI Quality Flow for governance—power AI transformations at enterprise scale.   Based in Munich, Germany, we work with enterprise clients to build AI capability, deliver production-ready systems, and establish quality-controlled AI operations.