Data Platform Engineer - Private Cloud / Kubernetes

Outstanding long-term contract opportunity! A well‑known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid). Work with the brightest minds at one of the largest financial institutions in the world. This is a long‑term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today’s digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers’ financial needs and helping people succeed financially, apply today. Contract Duration: 12 Months Required Skills & Experience 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. 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 ArgoCD. Experience using ServiceNow. Desired Skills & 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 ArgoCD 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. What You Will Be Doing 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. 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. #J-18808-Ljbffr