Mid Kubernetes DevOps Engineer [$306k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Annapolis Junction, MD, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

8 years minimum

Compensation

$306,000.0

Working hours

Regular working hours

Job source

clearancejobs.com

Tech stack

Amazon Web Services Linux DevOps Data Flow Control Python (Programming Language) Log Analysis MongoDB Node.Js OpenStack Public Key Infrastructure Red Hat Enterprise Linux Ansible

+6 more

Virtual Machines Kubernetes Rancher Apache Nifi Docker Vmware

Job description

Manage Linux VMs and Kubernetes clusters across VMware and AWS.
Maintain Ansible playbooks and monitor clusters with Rancher.
Support Apache NiFi deployments, manage dataflows, and handle PKI certificate lifecycles.
Troubleshoot VM and application issues.
Requires Linux, Docker, Python, and MongoDB., * Work across multiple hosting platforms supporting Linux VMs, focusing on VM Management and DevOps.
Manage server certificate lifecycle, monitor VM health, and perform software updates (manual/YUM).
Ensure VMs meet latest security requirements (STIG/SSP).
Monitor and manage production Linux VMs and Kubernetes clusters across various hosting platforms (OpenStack, VMware, AWS).
Maintain Ansible playbooks for VM changes and monitor Kubernetes clusters via Rancher/Kubernetes commands.
Administer, secure, and maintain RHEL 8/9 Linux virtual machines.
Troubleshoot production Linux VMs and Kubernetes clusters, ensuring node and pod health.
Support Apache NiFi deployments, including configuration, dataflow monitoring, and issue resolution.
Manage the full certificate lifecycle (server and PKI).
Perform software updates, patching, and system hardening through YUM and enterprise repositories.
Provide operational support to development teams and end users, from configuration to complex cluster builds.
Analyze logs, troubleshoot performance issues, and identify root causes for VM, container, or application problems.