Location: Irving, TX
Salary: $81.00 USD Hourly - $87.00 USD Hourly
Description: **Job Title: Platform & Security Engineer (Contract)Location: Irving, TX**
About the RoleWe're looking for a mid- to senior-level engineer to help design, build, and operate a secure, scalable enterprise Data Private Cloud (DPC) platform. This hybrid role combines platform engineering (Kubernetes/OpenShift, data services), security engineering (SecOps, guardrails, compliance), and automation. You will enhance platform capabilities across the SDLC, embed security by default, and work with cross-functional partners to deliver resilient, compliant data services at scale.
ResponsibilitiesPlatform Engineering- Design and automate platform workflows for provisioning, deploying, and supporting data services on Kubernetes/OpenShift.
- Build and maintain platform capabilities supporting Spark, Iceberg, Ranger, Sparkflow, Superset, and related data ecosystem tools.
- Contribute to highly available, scalable architectures for containerized workloads and data processing pipelines.
- Improve platform reliability through automation, runbooks, SRE best practices, and standardized operating procedures.
Security Engineering & SecOps- Build security automation to enforce controls for data access, encryption, masking, and protection across the platform.
- Integrate security controls into CI/CD pipelines, infrastructure-as-code, and core SDLC processes.
- Support security monitoring and compliance efforts including:
- Policy management, evidence collection, continuous compliance
- Audit logging, alerting, and security dashboards
- Partner with security, platform, and DevOps teams to strengthen incident readiness, resilience, and risk reduction.
Hands-on Development & Collaboration- Build, test, and document Python-based services and automation for platform operations and compliance workflows.
- Work with architects, platform engineers, and data teams to deliver end-to-end solutions.
- Participate in design reviews, threat modeling sessions, and architecture decisions to ensure secure deployment patterns.
Minimum Qualifications (5+ years)Core Skills- Strong Python development skills for automation and service development at enterprise scale.
- Solid understanding of security principles (least privilege, defense-in-depth, secure SDLC).
- Experience building or operating systems in Kubernetes or OpenShift environments.
- Hands-on experience integrating security checks and controls into CI/CD pipelines.
- Strong communication skills and ability to work across engineering and security teams.
Technical Background- Familiarity with data security patterns including access control, encryption, tokenization/masking, and secrets management.
- Understanding of DevOps practices: 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 tools such as Ranger, Keycloak, Spark, Iceberg, DataHub, or similar open-source technologies.
- Knowledge of S3-compatible storage and distributed data processing.
- Familiarity with observability tooling (logging, metrics, tracing) and security telemetry.
- Experience with incident response and operational resilience improvements.
- Exposure to API development and/or UI development (e.g., React) for internal tools or admin portals.
What Success Looks Like- Fully automated workflows that simplify deployment and operations of data services on Kubernetes/OpenShift.
- Embedded, default security controls enabling policy enforcement, least privilege, auditability, and compliance automation.
- Increased platform reliability and reduced operational overhead through standardization and automation.
- Strong alignment and partnership across platform engineering, data teams, and security stakeholders.
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