Platform Engineer
meibelAndrews Air Force Base, MD
About MeibelMeibel is the platform to build, run & scale generative AI with confidence. Meibel Platform Engineer Tysons, VAFull time Company website
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:
- ForExperience 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?
- 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
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Level
Lead L6
Location
Andrews Air Force Base, MD
Occupation
Computer Systems Engineers/Architects
Industry
Software Publishers
Posted
yesterday