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.