Platform Engineer

Meibel; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

Meibel is seeking a Platform Engineer to design, deploy, and maintain the core infrastructure powering our AI platform. You will work across cloud and on-premises environments, building scalable, observable systems in collaboration with AI and data teams.

You will leverage Kubernetes, Pulumi, Argo Workflows/CD, and Temporal to enable reliable deployments and efficient data workflows, while strengthening security and resilience.

Qualifications

• 4+ years in platform engineering, DevOps, or SRE roles.
• Hands-on Kubernetes in hybrid cloud/on-prem environments.
• Experience with GitOps and CI/CD tooling.
• Familiarity with data systems and observability practices.

Responsibilities

• Design, deploy, and manage Kubernetes environments in cloud and on-premises settings.
• Build infrastructure-as-code to automate provisioning and configuration.
• Support Argo Workflows and Argo CD for CI/CD and orchestration.
• Architect scalable systems using Temporal for long-running workflows.
• Manage data systems including vector, graph, and relational databases.
• Monitor, troubleshoot, and optimize performance across infra layers.
• Partner with engineers to build highly available, secure, observable systems.
• Contribute to internal tooling for development, deployment, and data workflows.

Skills

Kubernetes

DevOps

Pulumi

Argo Workflows

Argo CD

Temporal

GitOps

Hybrid cloud

Tools

Terraform

Argo

CI/CD tooling

Job description

About Meibel

Meibel is the platform to build, run & scale generative AI with confidence.

Meibel Platform Engineer Tysons, VA

• Full 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 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?

• 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