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Software Engineer, Cloud Computing: Infrastructure & Operations, SRE​/Site Reliability

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Judge Group, Inc.
Contract position
Listed on 2026-07-11
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer
Salary/Wage Range or Industry Benchmark: 68 - 73 USD Hourly USD 68.00 73.00 HOUR
Job Description & How to Apply Below
Location: Charlotte, NC Salary: $68.00 USD Hourly - $73.00 USD Hourly Description:

Data Platform Engineer - Private Cloud / Kubernetes

We are not accepting C2C or 1099 arrangements.

Location: Charlotte, NC (Hybrid - 3 days onsite per week)
Duration: 12-month contract with strong potential for extension up to 24 months
Start Date: ASAP
About the Role

We are seeking an experienced Data Platform Engineer to help design, build, and scale a next-generation private cloud data platform supporting enterprise analytics and data workloads. This role will play a critical part in a large-scale data center transformation initiative, enabling a secure, highly available, and multi-tenant platform that supports more than 70 business applications and teams.

As a member of the platform engineering team, you will work across infrastructure, Kubernetes, observability, automation, and security domains to deliver a production-ready platform that accelerates enterprise data adoption.
What You'll Do
Platform Engineering & Architecture
  • Design, build, and operate a scalable private cloud data platform leveraging Kubernetes, with a preference for Open Shift.
  • Develop and integrate core platform services across compute, storage, networking, and security layers.
  • Support modernization and migration initiatives by enabling cloud-native infrastructure and platform capabilities.
  • Collaborate with infrastructure and networking teams to establish foundational services, including load balancing, routing, and firewall integrations.
Multi-Tenant Platform Enablement
  • Design platform capabilities that support secure onboarding and operation of 70+ tenant applications.
  • Define resource allocation models, access management patterns, and operational standards for tenant environments.
  • Partner with application and data engineering teams to optimize adoption and platform usability.
Observability & Reliability
  • Build and maintain monitoring, alerting, and dashboarding solutions that provide visibility into platform health and performance.
  • Establish operational best practices for incident response, reliability engineering, and service availability.
  • Drive continuous improvements in platform observability and operational excellence.
Automation & Dev Ops
  • Create infrastructure and platform automation using Infrastructure-as-Code and Git Ops methodologies.
  • Develop automated deployment, provisioning, and lifecycle management solutions.
  • Support CI/CD and platform release processes to improve delivery velocity and reliability.
Security & Compliance
  • Implement enterprise-grade security controls, governance standards, and compliance requirements.
  • Design secure network communication patterns and access controls within Kubernetes/Open Shift environments.
  • Partner with security teams to align platform capabilities with organizational policies and regulatory requirements.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • Experience building and operating Kubernetes-based platforms in enterprise environments.
  • Experience administering Linux systems in production environments.
  • Experience designing and implementing platform observability solutions.
  • Experience with Infrastructure-as-Code and automation frameworks.
  • Experience collaborating across infrastructure, security, networking, and application engineering teams.
Preferred Qualifications
  • Experience with Open Shift platform administration and engineering.
  • Experience with object storage technologies.
  • Experience supporting distributed execution engines such as Apache Spark or Trino.
  • Experience with modern table formats including Apache Iceberg and Apache Hive.
  • Experience with metadata and data lineage platforms such as Data Hub.
  • Experience with observability tools including:
    • Grafana
    • Prometheus
    • Big Panda
    • Pager Duty
    • Thousand Eyes
  • Experience with:
    • Terraform
    • Helm
    • Git Ops practices
    • Argo CD
  • Experience working with Service Now for operational workflows and change management.
Nice to Have
  • Experience designing and enforcing Open Shift ingress and egress controls.
  • Experience implementing secure north-south traffic patterns in Kubernetes environments.
  • Experience with load balancing and traffic…
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