Prescient Edge is seeking a DevOps Engineer to support a Federal Government client.
Please note that the availability of this position is contingent upon contract award.
Benefits:
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
- A competitive salary with performance bonus opportunities.
- Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
- A substantial retirement plan with no vesting schedule.
- Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
- A positive work environment where employees are respected, supported, and engaged.
Description:
- Shall create and maintain environment-specific Kubernetes configuration packages (e.g., Helm values files, YAML manifests) that incorporate STIG-aligned hardening and RBAC policy enforcement per IL environment.
- Implement and manage secrets injection strategies using FedRAMP-compliant tools (e.g., AWS Secrets Manager, Azure Key Vault), ensuring compatibility with automated deployment pipelines.
- Integrate CI/CD pipelines to enable secure, automated deployment and rollback of ArcGIS components and related services, supporting ongoing agility and compliance across environments.
- Coordinate with Kubernetes and Data Layer Engineers to ensure version control, pipeline integrity, and integration testing for all containerized services deployed under WO-003.
- Coordinate with the WO-009 infrastructure team to provide estimated cloud resource usage profiles for Kubernetes-based deployments in IL2, IL4, and IL5 environments.
- Supply container and workload specifications to the WO-009 infrastructure team to support provisioning, tagging, and prepay or reservation planning
- Implement resource tagging in alignment with program-wide cloud governance policy and reconcile actual usage against estimates provided by WO-009.
- Support cost optimization efforts led by WO-009 by adjusting workloads and scaling strategies in response to performance and utilization feedback.