🚀 About us
We're a fast-growing Seed-stage startup building the next-generation search engine designed for AI and LLM applications. We are building a product which will operate on clusters of 1,000+ machines, processing petabytes of data and powering large-scale retrieval for production AI workloads.
🎯 The role
You will design and own the core infrastructure that everything else at Seltz depends on: Kubernetes, cloud environments, CI/CD systems, observability, internal tooling. The systems you'll build run across thousands of nodes, process petabytes of data, and need to stay up while the rest of the team ships fast.
This is foundational platform work. You will set the standard for reliability, automation, and developer experience across the entire engineering org. You will work directly with our CTO and founding engineers, with full ownership of your area.
📋 What you'll own
Design, build, and maintain our core infrastructure, including Kubernetes, cloud environments, CI/CD systems, and internal tooling.Support and expand the scaffolding currently being built by our founding engineers, ensuring long-term reliability and maintainability.Build automation that enables the entire engineering team to move fast and safely.Implement best-in-class observability, monitoring, and alerting across all services.Collaborate closely with engineers working on crawling, indexing, vectorization, and search.Improve developer experience, build internal tooling, and help scale our production environment.Ensure world-class system reliability, performance, and scalability.👤 Who you are
You have strong experience with Kubernetes, cloud infrastructure (AWS, GCP, Azure), and CI/CD systems (e.g., GitHub Actions).You have designed, operated, or scaled large-scale infrastructure systems in production.You have a solid understanding of observability, reliability engineering, automation, and systems optimization.You are proficient in Python or another scripting language for internal tooling.You know or are willing to learn RustYou communicate clearly and work effectively across functions.💡 Bonus
Experience with ML-Ops, GPU orchestration, or large-scale distributed compute.Familiarity with containerization (Docker, Kubernetes operators).Experience supporting early-stage or fast-moving engineering teams.Exposure to batch processing frameworks, distributed jobs, or orchestration systems.Familiarity with Rust or interest in systems engineering.🛠️ Example Projects You Might Work On
Build and scale the Kubernetes-based platform that powers our entire search and ML pipeline.Implement end-to-end observability for mission-critical distributed systems.Develop CI/CD pipelines that allow us to ship and operate code across thousands of nodes.Automate cluster management, resource scheduling, deployments, and environment provisioning.Collaborate with crawling, indexing, and vector-search teams to support production workloads at massive scale.🎁 What We Offer
Competitive salary and equity package.Opportunity to make a meaningful impact in a fast-growing startup.A supportive, collaborative, and diverse work environment.Flexible work hours and remote work options. Based in Europe or the US.Professional development and continuous learning opportunities.Comprehensive benefits package, including US health insurance, US 401k, flexible time off and more.💻 How to apply
If you are an Infrastructure Engineer with a passion for designing and building reliable, scalable systems, we'd love to hear from you. Apply now and join our mission to revolutionize web search!
Seltz is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Email your application jobs@seltz.ai
