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

• 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 Open Shift.
• 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, Big Panda, Pager Duty, or Thousand Eyes.
• Experience with automation tools including Terraform and Helm.
• Experience with Git Ops practices, preferably Argo CD.
• Experience using Service Now.

• Kubernetes, Open Shift 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, Big Panda, Pager Duty, Thousand Eyes, alert and dashboard design.
• Service Now.
• Automation tools including Terraform, Helm, and Git Ops with Argo CD
• Experience with Open Shift 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, name spaces, and environments in multi‑tenant platforms.
• Experience with Kubernetes or Open Shift Network Policies including default deny and least privilege communication controls.

• 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 Open Shift.
• 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.