Kubernetes Engineer

SOSi sosi.com Open · verified Oct 24, 2026

Remote United States Full-time Mid-level Cloud

At a glance

Mid-level Cloud role at SOSi. Remote, United States · full-time · $79,451–$165,013 base.

SalaryStated by SOSi

$79,451 – $165,013

Base salary for this role, in USD per year, as published in the posting.

RoleCloud

SeniorityMid-level

LocationUnited States

WorkplaceRemote

EmploymentFull-time

Base pay$79,451–$165,013

PostedJun 29, 2026 · 3mo ago

Role brief

devopsroles summary, based on the employer's posting.

What you'll do

Set up and maintain Kubernetes clusters for IL2, IL4, and IL5, supporting ESRI ArcGIS and agency infrastructure
Build Helm charts and Kubernetes Operators to deploy and scale ESRI Notebook Server and GeoAnalytics Server
Configure persistent storage for ESRI workloads, following backup and recovery policies
Add Kubernetes monitoring and logging across environments for observability and IL-compliant reporting

What you bring

A bachelor's degree in computer science, cloud computing, or a related area, or five years of equivalent Kubernetes administration experience
Hands-on experience operating Kubernetes clusters, troubleshooting containerized apps, and implementing Istio or Linkerd service meshes
Required experience with Terraform or Ansible for infrastructure as code
Knowledge of Kubernetes orchestration, container networking, Helm, CI/CD automation, cloud services, security, and monitoring or logging tools

Who this fits

This remote role suits a Kubernetes engineer with cloud-native deployment experience. You’ll need a strong internet connection and a quiet, interruption-free workspace.

From the employer

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

SOSi is seeking a Kubernetes Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

Configure, deploy, and maintain Kubernetes clusters tailored for each IL environment (IL2, IL4, IL5), ensuring support for ESRI ArcGIS services and integration with agency-provided infrastructure from WO-001.
Develop and manage Helm charts and Kubernetes Operators for declarative deployment and automated scaling of ESRI services, including Notebook Server and GeoAnalytics Server.
Configure persistent volume claims and provision container-native storage (e.g., AWS EBS, Azure Disks) to support ESRI workloads, ensuring durability and compliance with backup and recovery policies.
Integrate Kubernetes-native monitoring and logging solutions (e.g., Prometheus, Fluentd, or OpenTelemetry) to support observability and IL-compliant reporting across environments.

Minimum Requirements:

Bachelor's degree in Computer Science, Cloud Computing, or a related field, or; five (5) years of equivalent experience in Kubernetes administration.
Demonstrated experience in deploying and managing Kubernetes clusters, troubleshooting containerized applications, and implementing service mesh architectures such as Istio or Linkerd.
Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible is required.
Possess the knowledge and capability to design, deploy, and manage containerized applications in a cloud-native environment using Kubernetes.
Proficient in Kubernetes cluster orchestration, container networking, Helm chart deployment, and automation of CI/CD pipelines.
Strong knowledge of cloud infrastructure services (AWS, Azure, GCP), security best practices, and Kubernetes monitoring/logging tools (Prometheus, Grafana, ELK stack) is required.

Preferred Qualifications:

Desirable but not required certifications include Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer – Professional, or Google Cloud Professional Cloud DevOps Engineer.

Work Environment