Key Skills

Job Description

About MarvelX MarvelX builds AI agents for regulated industries such as insurance and financial services. Our systems run in real production environments where reliability, security, and observability matter as much as model quality. We’re looking for a DevOps / Platform Engineer to own and evolve our cloud and Kubernetes infrastructure. You will work closely with Product, Engineering, and ML to keep our platform scalable, secure, and production-ready as we grow. This is a full-time, hybrid role (office-first, up to 1 day/week remote). What you will do Own and operate Kubernetes clusters running production workloads Build and maintain infrastructure across AWS, GCP, and Azure Define infrastructure as code using Terraform Build and maintain GitLab CI/CD pipelines Containerize and deploy services using Docker Implement observability: metrics, logs, tracing, alerting Support AI/ML workloads (model serving, batch jobs, GPU workloads) Improve reliability, security posture, and cost efficiency Partner with engineering to design production-ready architectures What we’re looking for Strong hands-on experience operating Kubernetes in production Experience with at least one major cloud provider (AWS, GCP, or Azure); multi-cloud experience is a plus Solid Terraform experience managing real infrastructure GitLab CI/CD or similar pipeline tooling experience Strong Docker fundamentals Experience with observability tooling (Prometheus, Grafana, ELK, OpenTelemetry, or similar) Linux and scripting skills (Bash, Python, etc.) Interest or experience supporting AI/ML systems Nice to have GPU scheduling / ML platform experience Helm or Kustomize Exposure to security and compliance environments (SOC 2, ISO 27001) Why join Own the platform of a production AI company Small, senior, highly technical team Direct impact on reliability, security, and scale Competitive salary + equity

Core Responsibilities

You will own and evolve the company's cloud and Kubernetes infrastructure while supporting AI/ML workloads. The role involves partnering with engineering teams to design production-ready architectures and maintaining high standards for reliability, security, and observability.

Requirements

Candidates must have strong hands-on experience operating Kubernetes in production and proficiency with at least one major cloud provider. Solid experience with Terraform, CI/CD pipelines, and observability tooling is required to manage the platform effectively.

Benefits

• Competitive salary
• Equity