Platform Engineer II

We are seeking a hands-on Platform Engineer II to own and operate our internal lab and demo environments. This role supports a hybrid platform ecosystem spanning on-prem lab infrastructure, virtualization, cloud services, Kubernetes/containerized workloads, CI/CD tooling, artifact repositories, automation, and developer enablement.

The Platform Engineer II will help maintain environment readiness, improve deployment consistency, support development teams with repeatable deployment patterns, and ensure customer demos, product experiments, prototypes, training, and onboarding environments are reliable and well documented.

This is a practical, hands-on platform engineering role for someone who can troubleshoot across the stack, automate repeatable work, document operational procedures, and help bring structure to a fast-moving lab environment.

The ideal candidate is a self-starter who is comfortable operating in a fast-moving environment. You do not need to be a senior architect, but you should be able to troubleshoot independently, ask good questions, document what you learn, and help improve the way environments are built and maintained. 

You should be comfortable working across multiple areas of the platform stack and willing to jump into whatever the lab environment needs, whether that is fixing a deployment, debugging ingress, improving a Jenkins or GitHub Actions workflow, troubleshooting a virtual machine, writing a validation script, updating documentation, or helping a development team standardize how an application is deployed. 

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  Own day-to-day operations, readiness, and reliability of lab and demo environments. 

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  Maintain and support Kubernetes and containerized application deployments. 

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  Support on-prem lab infrastructure, virtualization platforms, virtual machines, and related network/storage dependencies. 

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  Support development teams by creating reusable deployment patterns, templates, documentation, and runbooks. 

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  Build, maintain, and improve CI/CD workflows using tools such as Jenkins and GitHub Actions. 

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  Troubleshoot issues across Linux systems, virtual machines, containers, Kubernetes resources, networking, DNS, TLS, ingress, and application runtime environments. 

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  Manage and support artifact repository workflows using tools such as Nexus or Artifactory. 

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  Maintain deployment documentation, environment standards, operational procedures, and troubleshooting guides. 

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  Help ensure customer demos, training environments, and prototype deployments are stable, prepared, and repeatable. 

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  Automate environment setup, validation checks, deployment steps, and routine operational tasks using Bash, Python, or similar scripting tools. 

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  Contribute to platform and deployment design discussions by recommending practical improvements and helping turn architecture direction into repeatable implementation patterns. 

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  Support basic security and compliance activities, including patching, vulnerability remediation, secrets management, TLS/certificate management, RBAC, least privilege, and secure configuration practices. 

Within the first six months, success in this role means: 

• Lab and demo environments are more stable, better documented, and easier to maintain. 

• Development teams can deploy more consistently using standard patterns, templates, and runbooks. 

• Customer demos, product experiments, and training environments require less last-minute manual effort and are more reliable. 

This role is hybrid, with occasional on-site support required for lab and demo environment activities. Work will primarily involve computer-based engineering tasks, including platform operations, troubleshooting, documentation, CI/CD support, automation, and collaboration with development teams.

The role may occasionally require support for customer demos, training environments, prototypes, and internal engineering activities. The position may require limited physical interaction with lab equipment, servers, networking devices, or workstations, including basic setup, cabling, inspection, or troubleshooting. No significant physical labor is expected.