Freedom Technology Solutions Group
Systems Software Developer 713
McLean, VA · Contract
No sponsorshipDetected 9 days ago
TypeScriptBashAngularNode.jsPostgreSQLElasticsearchAWSKubernetesTerraformHelmPrometheusGrafanaDevOpsCybersecurityAccessibilityHRArgo CD
About the role
- A successful candidate would have a deep understanding of Kubernetes, containerization and cloud-native technologies.
- Will be responsible for the implementation of the project's Kubernetes-based infrastructure and applications.
- We're constantly hosting hiring events in our office and elsewhere, to help you get a sense of what life is like at Freedom before joining the team.
Requirements
- A work-life balance you can count on
- An active security clearance with polygraph.
Skills
- Experience with Kubernetes container orchestration, including deployment, scaling and management
- Knowledge of Helm charts for simplifying application deployment of Kubernetes
- Proficiency in Terraform for infrastructure provisioning and management
- Hands-on experience with AWS services and architecture
- Strong scripting skills using Bash, with the ability to automate tasks and processes
- Experience with ArgoCD for automating deployment pipelines
- Hands-on experience with monitoring, logging, and alerting systems such as Prometheus/Grafana
- Familiarity with KEDA for scalable Kubernetes workloads
- Elasticsearch expertise for search, logging, or analytics use cases
- PostgreSQL database administration skills
- Node.js and TypeScript development experience
- Angular framework knowledge
Compensation
- Enjoy extremely competitive compensation and benefits
Equal opportunity
- English - Spanish - Arabic - Chinese
- English - Spanish - Chinese
- Employer, including disabled and veterans.
- If you want to view the EEO Law poster, please choose your language: English - Spanish - Arabic - Chinese
Visa & Work Authorization
- An active security clearance with polygraph
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This listing is sourced directly from Freedom Technology Solutions Group's careers page and normalized into a canonical job model.