Technology and Data - Specialty Software Engineer 4 - Contingent
Artech LLC
CHARLOTTE, NC
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JOB DETAILS
LOCATION
CHARLOTTE, NC
POSTED
22 days ago
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Full JD from RTM:
Overview
We are seeking a mid-level to senior engineer to join our 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. You 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.
Key Responsibilities
Platform Engineering
•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 & 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.
•Support security monitoring and compliance by contributing to:
oPolicy management, attestation evidence, and continuous compliance workflows
oSecurity-relevant audit logging, alerting, and dashboards
•Partner with security, platform, and DevOps teams to strengthen incident response readiness, operational resilience, and risk reduction.
Hands-on Development & Collaboration
•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.
Required Qualifications (5+ years)
Core Skills
•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.
Technical Background
•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).
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.
What Success Looks Like
•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.
About the Company
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