Platform Engineer

Meibel Platform Engineer Tysons, VA · Full time About Meibel Meibel is the platform to build, run & scale generative AI with confidence. Description At Meibel , we help organizations move from AI experimentation to AI in production — responsibly and at scale. Our platform supports explainable, traceable, and trustworthy AI by combining cutting‑edge infrastructure with a deep commitment to transparency and control. We’re looking for a Platform Engineer to help architect and maintain the foundation that powers our product across cloud and on‑premises environments. You’ll work at the intersection of AI, DevOps, and distributed systems, enabling our engineering teams and customers to deploy confidently, scale effortlessly, and operate reliably. What You’ll Do Design, deploy, and manage Kubernetes environments in both cloud and on‑premises settings Build robust infrastructure-as-code using Pulumi to automate provisioning and configuration Support and evolve our use of Argo Workflows and Argo CD for CI/CD and orchestration Architect durable, scalable systems using Temporal for long-running workflows and background jobs Manage and integrate various data systems — including graph , vector , and relational databases Monitor, troubleshoot, and optimize performance across infrastructure layers Partner with application engineers and ML teams to build highly available, secure, and observable systems Contribute to internal tooling that streamlines development, deployment, and data workflows What We’re Looking For 4+ years of experience in platform engineering, DevOps, or SRE roles Deep hands‑on experience with Kubernetes , especially in hybrid (cloud/on-prem) deployments Proficiency with Pulumi (or strong experience with Terraform and interest in Pulumi) Experience building with Argo (Workflows and CD) and managing GitOps‑style deployments Practical experience with Temporal or similar workflow orchestration engines Familiarity with different classes of data systems: Vector databases (e.g., Pinecone, Weaviate, Qdrant) Graph databases (e.g., Neo4j, TigerGraph) Relational databases (e.g., PostgreSQL, MySQL) Strong infrastructure fundamentals — networking, security, observability, high availability Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization best practices Bonus Points For Experience supporting AI or ML pipelines in production environments Understanding of compliance, multi‑tenancy, and secure data access models Contributions to open source or infrastructure‑related communities Interest in building internal platforms for developer productivity Why Join Meibel? As a Platform Engineer at Meibel, you’ll have a direct impact on the reliability, scalability, and trustworthiness of AI systems used in high‑stakes environments. We work on complex, meaningful problems and we value engineers who love to solve them. Shape the infrastructure of a modern, explainable AI platform Collaborate with cross‑functional teams across AI, data, product, and ops Work on real hybrid deployments with production‑grade complexity Join a mission‑driven culture focused on innovation and responsibility Flexible, remote‑friendly work culture with a strong engineering foundation #J-18808-Ljbffr Meibel