Location: Charlotte, NC
Salary: $81.00 USD Hourly - $87.00 USD Hourly
Description: **Job Title: Platform & Security Engineer (Contract)Location: Charlotte, NC (Hybrid)**
About the RoleWe are looking for a mid-level to senior Platform & Security Engineer to design, build, and operate a secure, scalable enterprise Data Private Cloud (DPC) platform. This hybrid role combines platform engineering (OpenShift/Kubernetes and data services), security engineering, and automation. You will develop platform capabilities, embed security into the SDLC, and collaborate across teams to enable secure-by-default data services at scale.
ResponsibilitiesPlatform Engineering- Design and implement automated workflows for provisioning, deploying, and operating data services on Kubernetes/OpenShift.
- Build and maintain platform capabilities supporting components such as Spark, Iceberg, Ranger, Sparkflow, Superset, and related ecosystem tools.
- Contribute to resilient, scalable architectures for containerized workloads and high-volume data processing pipelines.
- Improve platform reliability through automation, standard operating procedures, and SRE best practices.
Security Engineering & SecOps- Develop security automation enforcing access control, encryption, masking, and data protection across the platform.
- Integrate security into CI/CD pipelines, infrastructure-as-code, and SDLC workflows.
- Support security monitoring and compliance through:
- Policy and control management
- Evidence collection and continuous compliance workflows
- Audit logging, alerting, and security dashboards
- Partner with security, platform, and DevOps teams to strengthen incident response, operational resilience, and risk reduction.
Hands-On Development & Collaboration- Design, develop, test, and document Python-based services and automation for platform operations and compliance.
- Work closely with architects, platform/DevOps engineers, and data product teams to deliver end-to-end solutions.
- Participate in design reviews, threat modeling sessions, and architecture discussions to support secure deployment patterns.
Minimum Qualifications (5+ years experience)Core Skills- Strong Python programming skills for automation and service development in enterprise environments.
- Solid understanding of security fundamentals (least privilege, defense-in-depth, secure SDLC) and compliance concepts.
- Experience building or operating systems in Kubernetes or OpenShift environments.
- Hands-on experience with CI/CD pipelines and embedded security controls.
- Excellent communication skills and ability to work across engineering and security teams.
Technical Background- Familiarity with access control, encryption, tokenization/masking, and secrets management.
- Understanding of DevOps practices including automated testing, release automation, environment promotion, and operational support.
- Exposure to data platform concepts (data services, governance, metadata, batch/stream processing).
Preferred Qualifications- Experience with open-source data ecosystem components such as Ranger, Keycloak, Spark, Iceberg, and DataHub.
- Knowledge of S3-compatible object storage and distributed data processing patterns.
- Familiarity with observability tooling (logs, metrics, tracing), security telemetry, and operational dashboards.
- Experience with incident response, root-cause analysis, and operational resilience improvements.
- Exposure to API design and/or UI development (e.g., React.js) for operational and administrative tools.
Success Criteria- Automated workflows that simplify deployment and operations for data services on OpenShift/Kubernetes.
- Security controls that are embedded, automated, and enforce least privilege, auditability, and compliance.
- Improved platform reliability and reduced operational overhead through standardization and automation.
- Strong alignment and collaboration across platform engineering, data teams, and security stakeholders.
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