Senior Security Platform Engineer - Hybrid Container Platform & Security Operations
Design, build, and operate a secure, scalable enterprise Data Private Cloud platform. Implement security controls, compliance guardrails, and automation across the SDLC. Partner with cross-functional teams to deliver secure-by-default data services at scale.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Title: Senior Security Platform Engineer
Pay Rate: $75 to $80/Hr ($70/Hr for H1b) on W2
Duration: 12 months
(Urgent: would like to interview and make an offer by Monday/Tuesday of next week.)
Location: Charlotte, NC
We are urgently looking for a Senior Security Platform Engineer
- Client is seeking a mid-level to Senior Security Platform Engineer to join the client’s team on a contract basis to help design, build, and operate a secure, scalable enterprise Data Private Cloud (DPC) platform.
- This is a hybrid role that blends container-platform development (Kubernetes/OpenShift and data services) with security operations (SecOps) and automation.
- Candidates will build and enhance platform services and workflows across the SDLC, implement security controls and compliance guardrails, and partner with cross-functional teams to operationalize secure-by-default data services at scale.
Platform Engineering:
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- Design and build automated platform workflows for provisioning, deployment, and operational support of data services running on OpenShift/Kubernetes.
- Develop and maintain platform capabilities supporting data ecosystem components such as Spark, Iceberg, Ranger, Sparkflow, Superset, and related services.
- Contribute to resilient, scalable architecture for containerized workloads and large-scale data processing pipelines.
- Improve platform reliability through automation, runbooks, SRE practices, and standard operating procedures.
Security Engineering and SecOps Enablement
- Engineer security automation that enforces controls for data access, encryption, masking, and protection across the data platform.
- Integrate security into the SDLC by embedding controls into CI/CD pipelines, infrastructure-as-code, and release processes.
- Partner with security, platform, and DevOps teams to strengthen incident response readiness, operational resilience, and risk reduction.
- Support security monitoring and compliance by contributing to:
- Policy management, attestation evidence, and continuous compliance workflows
- Security-relevant audit logging, alerting, and dashboards
- Design, implement, test, and document Python-based services and automation for platform operations and compliance workflows.
- Collaborate closely with architects, DevOps/platform engineers, and data product teams to deliver end-to-end solutions.
- Participate in technical design reviews, threat modeling discussions, and architecture decisions for secure deployment patterns.
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Requirements:
- Strong Python development skills for enterprise-scale automation and service development.
- Solid understanding of security fundamentals (least privilege, defense-in-depth, secure SDLC) and common compliance concepts.
- Experience building or operating software in containerized environments (Kubernetes or OpenShift/OCP).
- Practical experience with CI/CD pipelines and integrating security checks/controls into delivery workflows.
- Strong communication skills and ability to work effectively across engineering and security stakeholders.
- Familiarity with data security patterns such as access control, encryption, tokenization/masking, and secrets management.
- Understanding of DevOps practices: automated testing, release automation, environment promotion strategies, and operational support.
- Exposure to data platform concepts (data services, governance, metadata, batch/stream processing).
- Automated workflows that make data services easy to deploy and operate on OCP/Kubernetes.
- Security controls that are built-in, not bolted-on—policy enforcement, least privilege, auditability, and compliance automation.
- Improved reliability and reduced operational overhead through standardization and automation.
- Strong cross-team alignment between platform engineering, data teams, and security stakeholders.
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Preferred Qualifications (Nice to Have):
- Experience with Apache/open-source ecosystem tools such as Ranger, Keycloak, Spark, Iceberg, DataHub.
- Knowledge of S3-compatible object storage and large-scale distributed data processing patterns.
- Familiarity with observability tooling (logs/metrics/traces), security telemetry, and operational health dashboards.
- Experience with incident response, post-incident reviews, and improving operational resilience.
- Exposure to API design and/or UI development (e.g., React.js) for operational portals or admin tools.
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