Platform Engineer

Meibel.ai; Tysons (VA); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking a Platform Engineer to enhance the reliability and scalability of AI systems. In this role, you will design and manage Kubernetes environments, build robust infrastructure-as-code, and collaborate with cross-functional teams. This position offers the chance to work on real hybrid deployments with production-grade complexity, making a direct impact on high-stakes AI environments. If you are passionate about infrastructure and want to contribute to responsible AI, this is the perfect opportunity for you. Join a mission-driven culture focused on innovation and engineering excellence.

Benefits

Flexible work culture

Remote-friendly environment

Collaborative teams across AI and data

Impactful work on meaningful problems

Qualifications

• 4+ years in platform engineering, DevOps, or SRE roles.
• Deep experience with Kubernetes, especially in hybrid deployments.

Responsibilities

• Design and manage Kubernetes environments for cloud and on-premises.
• Build infrastructure-as-code using Pulumi for automation.

Skills

Kubernetes

Infrastructure as Code

DevOps

Monitoring and Troubleshooting

Cloud Platforms (AWS, GCP, Azure)

Security and Observability

Education

Bachelor's in Computer Science or related field

Tools

Pulumi

Argo Workflows

Argo CD

Temporal

Job description

AtMeibel, 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 aPlatform Engineerto 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 manageKubernetesenvironments in both cloud and on-premises settings
• Build robust infrastructure-as-code usingPulumito automate provisioning and configuration
• Support and evolve our use ofArgo WorkflowsandArgo CDfor CI/CD and orchestration
• Architect durable, scalable systems usingTemporalfor long-running workflows and background jobs
• Manage and integrate various data systems — includinggraph,vector, andrelational 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 withKubernetes, especially in hybrid (cloud/on-prem) deployments
• Proficiency withPulumi(or strong experience with Terraform and interest in Pulumi)
• Experience building withArgo(Workflows and CD) and managing GitOps-style deployments
• Practical experience withTemporalor similar workflow orchestration engines
• Familiarity with different classes of data systems:
• Vector databases(e.g., Pinecone, Weaviate, Qdrant)
• 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 onreal hybrid deploymentswith 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.

Apply now and help us build the systems that power responsible AI.