Data Platform Engineer – Private Cloud / Kubernetes (contract)

Description

Summary: In this contingent resource assignment, you may:

• Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
• Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
• Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
• Strategically collaborate and consult with client personnel.

Required Qualifications

• Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Key Responsibilities

• Design and build a scalable data private cloud platform leveraging Kubernetes and OpenShift.
• Configure and integrate platform components including compute, storage, and networking layers, and support object storage and execution engines where applicable.
• Support environment buildout in preparation for enterprise data center migration, including configuration of foundational infrastructure such as firewalls and load balancing in collaboration with network teams.
• Ensure platform readiness to support multi-tenant data workloads.
• Enable onboarding of 70+ tenant applications onto the platform by defining access models, resource allocation, and environment setup.
• Collaborate with stakeholders to ensure tenants can successfully adopt and use the platform.
• Design and implement observability frameworks including monitoring, alerting, and dashboards.
• Develop automation solutions to support platform provisioning, deployments, and ongoing operations.
• Implement and maintain platform-level security and compliance controls, ensuring alignment with enterprise policies and supporting enforcement of extensive data and technical controls.
• Partner with cross-functional teams including networking, security, and infrastructure to support delivery, solutioning, and requirements definition.
• Support acceleration of deliverables across both platform buildout and tenant enablement based on capacity needs.

Key Requirements

• Applicants must be authorized to work for ANY employer in the U.S.
• This position is not eligible for visa sponsorship.
• Strong experience with Kubernetes, preferably OpenShift.
• Strong Linux experience.
• Experience building and configuring enterprise platforms from the ground up.
• Experience designing and implementing observability solutions across platforms.
• Hands-on experience with tools such as Grafana, Prometheus, BigPanda, PagerDuty, or ThousandEyes.
• Experience with automation tools including Terraform and Helm.
• Experience with GitOps practices, preferably Argo CD.
• Experience using ServiceNow.

Preferred Experience

• Kubernetes, OpenShift preferred.
• Object Storage.
• Execution Engines such as Spark or Trino.
• Table formats such as Iceberg or Hive.
• Metadata Lineage tools such as Datahub.
• Observability tools including Grafana, Prometheus, BigPanda, PagerDuty, ThousandEyes, alert and dashboard design.
• ServiceNow.
• Automation tools including Terraform, Helm, and GitOps with Argo CD preferred.
• Good to Have Experience with OpenShift ingress and egress control, including design and enforcement of secure north-south traffic patterns.
• Experience with load balancing and traffic routing for internal and external services with high availability.
• Experience with network segmentation and isolation across tenants, namespaces, and environments in multi-tenant platforms.
• Experience with Kubernetes or OpenShift Network Policies including default deny and least privilege communication controls.