Platform Engineer

Meibel; Tysons (VA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Meibel is seeking a Platform Engineer to design, build, and operate the core platform across cloud and on‑prem environments. You will partner with AI, data, and dev teams to enable scalable, observable, and secure deployments while advancing infrastructure tooling and automation.

Responsibilities include managing Kubernetes at scale, implementing Pulumi IaC, and supporting Argo Workflows/CD and Temporal for robust workflows. Strong cloud fundamentals and data-system experience are essential.

Qualifications

• 4+ years of experience in platform engineering, DevOps, or SRE roles.
• Hands-on Kubernetes experience, especially in hybrid cloud/on-prem deployments.
• Proficiency with Pulumi (or Terraform) and IaC tooling.
• Experience with Argo Workflows and Argo CD for GitOps-style deployments.
• Practical experience with Temporal or similar workflow engines.
• Familiarity with vector, graph, and relational databases.
• Strong cloud and containerization fundamentals across AWS, GCP, or Azure.

Responsibilities

• Design, deploy, and manage Kubernetes environments in cloud and on‑prem.
• Build infrastructure-as-code with Pulumi to automate provisioning.
• Support Argo Workflows and Argo CD for CI/CD and orchestration.
• Architect durable, scalable systems using Temporal for long‑running jobs.
• Integrate data systems including vector, graph, and relational databases.
• Monitor, troubleshoot, and optimize across infrastructure layers.
• Collaborate with AI, data, product, and ops teams to ensure reliability and security.
• Contribute to internal tools to streamline development and deployment workflows.

Skills

Kubernetes

Pulumi

Argo Workflows

Argo CD

Temporal

GitOps

Hybrid cloud

Cloud platforms

Vector databases

Graph databases

Relational databases

Networking

Security

Observability

SRE

DevOps

Tools

Terraform

Job description

Platform Engineer

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

If you're passionate about infrastructure and want to make AI more transparent and usable at scale, we'd love to meet you.