Kubernetes Engineer (REMOTE)
Step into a Kubernetes environment that’s already running, but not perfect, and help make it stronger, faster, and more reliable for the teams delivering scientific data that people across the country depend on every day.
This is a rare chance to join us as a Kubernetes Engineer to support the United States Geological Survey (USGS)! You’ll be stepping into a Kubernetes environment in AWS (EKS) that’s already in motion. Some workloads are running well. Others are still migrating. And like most real-world systems, there are areas that need to be rethought or improved over time. The work here is about progression, taking what exists, understanding it quickly, and making it better in ways that are practical and sustainable. A large part of the role is working alongside development teams and helping them run their applications effectively in Kubernetes. That might mean guiding architecture decisions, troubleshooting issues that don’t have obvious answers, or simplifying systems that have become overly complex. The impact is real. If you’re ready to support in ensuring that critical data, related to natural hazards, water, and mapping is reliable and accessible when it’s needed, join XTS today!
Requirements
- Must have the ability to receive / maintain a favorable adjudicated Public Trust investigation (US Citizen or Lawful Permanent Resident for at least 3 years).
- You’ve achieved a Bachelor’s Degree + 5 years of hands-on Kubernetes experience and able to assist in real-world judgment in live environments, not just theoretical knowledge.
- Experience with both AWS (EKS) and on-prem environments to support a hybrid ecosystem and guide teams through different deployment models.
- Strong understanding of containerization and scalability to support applications in running reliably under real production demands.
- Experience building CI/CD pipelines and IaC solutions to ensure environments are consistent, automated, and not dependent on manual processes.
- Expertise with Terraform, Ansible, Packer, or similar.
- Experience with scripting languages such as Bash, Python, or PowerShell for automation, troubleshooting, and day-to-day operational tasks.