Specialty Software Engineer

Location: Irving, TX
Salary: $81.00 USD Hourly - $87.00 USD Hourly
Description:
Senior Platform & Security Engineer (Contract)

Location: Irving, TX
Type: Contract
About the Role

We are looking for a mid- to senior-level engineer to help design, build, and operate a secure, scalable enterprise Data Private Cloud (DPC) platform. In this hybrid engineering role, you will combine platform engineering (Kubernetes/Open Shift and data services) with security engineering, automation, and operational excellence.

You will build platform capabilities, implement secure-by-default workflows across the SDLC, and partner with cross-functional teams to deliver resilient, compliant, high-performance data services at scale.
Responsibilities
Platform Engineering

• Design and automate workflows for provisioning, deploying, and supporting data services on Open Shift/Kubernetes.
• Build and maintain platform capabilities for components like Spark, Iceberg, Ranger, Sparkflow, Superset, and related services.
• Contribute to highly available, scalable architectures supporting large-scale data processing.
• Improve platform reliability through automation, runbooks, SRE practices, and standardized operating procedures.

Security Engineering & Sec Ops Enablement

• Develop security automation enforcing controls for data access, encryption, masking, and data protection.
• Embed security controls across the SDLC, including CI/CD pipelines, infrastructure-as-code, and release processes.
• Support security monitoring and compliance activities, including:
  • Policy management and continuous compliance workflows
  • Audit logging, alerting, and security dashboards
• Partner with Security, Dev Ops, and Platform teams to enhance incident readiness, operational resilience, and risk reduction.

Hands-On Development & Collaboration

• Implement, test, and document Python-based services and automation supporting platform operations and compliance workflows.
• Collaborate closely with architects, platform engineers, and data product teams on end-to-end solution delivery.
• Participate in design reviews, threat modeling, and architecture decisions to drive secure deployment patterns.

Minimum Qualifications (5+ Years)
Core Skills

• Strong Python development experience supporting enterprise automation and service development.
• Solid understanding of security principles (least privilege, defense-in-depth, secure SDLC) and common compliance concepts.
• Experience building or operating workloads in Kubernetes or Open Shift environments.
• Hands-on experience integrating security controls into CI/CD pipelines.
• Clear, effective communication across engineering and security stakeholders.

Technical Background

• Familiarity with data security patterns: access control, encryption, tokenization/masking, secrets management.
• Understanding of Dev Ops practices: automated testing, release automation, environment promotion, operational support.
• Exposure to data platform concepts (governance, data services, batch/stream processing, metadata).

Preferred Qualifications

• Experience with Apache/open-source data tools such as Ranger, Keycloak, Spark, Iceberg, or Data Hub.
• Knowledge of S3-compatible storage and distributed data processing patterns.
• Familiarity with observability tooling (logging, metrics, tracing), security telemetry, and operational dashboards.
• Experience with incident response and improving operational resilience.
• Exposure to API design and/or UI development (e.g., React.js) for operational or admin tools.

What Success Looks Like

• Automated workflows that simplify deploying and operating data services on Kubernetes/Open Shift.
• Security controls integrated directly into platform workflows-policy enforcement, least privilege, auditing, and automated compliance.
• Increased platform reliability, reduced manual effort, and standardized operational practices.
• Strong alignment with platform engineering, data teams, and security partners to deliver secure, scalable solutions.

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Contact:

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