We're hiring a hands-on consultant to deploy and configure Kontxtual — 1touch.io's AI-driven data intelligence and governance platform, now part of Everpure (formerly Pure Storage) — for enterprise clients in financial services and healthcare. Kontxtual's architecture is Kubernetes-based, so this role stands up the platform on-premises or in hybrid configurations inside the client's own data center, then configures data discovery/classification and governance controls. The ideal candidate blends Kubernetes infrastructure skills with data governance and security domain expertise in regulated, on-prem enterprise environments.

•      Deploy and operate the platform's Kubernetes-based components on-premises or in a hybrid configuration inside the client's data center (Kubernetes, OpenShift, or Rancher) — Helm charts, operators, container registries, networking/ingress, and RBAC.

•      Integrate persistent storage (Kubernetes CSI, software-defined storage such as Portworx or comparable) and validate the environment is ready for configuration.

•      Onboard data-source connectors across relational and legacy databases, data warehouses, file/object stores, streaming data, and mainframe.

•      Tune sensitive-data classifiers and discovery rules; validate precision and recall against real production data.

•      Build the data graph model linking data to identity, access, usage, lineage, and risk.

•      Implement attribute-based access control (ABAC) policies and map automated controls/reporting to HIPAA, GLBA, PCI DSS, GDPR, and SOX.

•      Integrate platform outputs with the client's SIEM, IAM/IGA, data-catalog, and DLP tooling.

•      Translate client objectives into use cases (DSPM posture, DLP, privacy/DSAR automation, AI data-readiness) and build repeatable data workflows.

•      Serve as the technical point of contact on the engagement, operating within the client's formal change-control, security, and compliance processes.

Kubernetes & Infrastructure

◦      3+ years of production experience deploying, operating, and troubleshooting Kubernetes (vanilla Kubernetes, Red Hat OpenShift, or Rancher) in enterprise on-premises or hybrid environments — not pilots or single-node clusters.

◦      Helm charts, operators, container registries, networking/ingress, and RBAC for containerized enterprise software.

◦      Kubernetes persistent storage / CSI integration; software-defined or cloud-native storage experience (Portworx or comparable) a strong plus.

◦      Comfortable working in restricted, segmented, or air-gapped on-prem networks under formal change control.

Data Intelligence

◦      Hands-on experience with a data discovery, classification, or DSPM platform (1touch.io/Kontxtual, Microsoft Purview, BigID, Securiti, Varonis, Collibra, or similar).

◦      PII/PHI/PCI data classification, including how precision and recall are tuned and validated against production data.

◦      Experience connecting and profiling heterogeneous on-prem sources — relational/legacy databases, data warehouses, object/file stores, and ideally mainframe.

◦      Comfort with data lineage or knowledge-graph concepts.

Data Governance

◦      Practical experience with policy-driven access governance (ABAC or comparable) and mapping controls to regulatory frameworks — HIPAA, PCI DSS, GLBA, GDPR, and/or SOX.

◦      Delivery experience in regulated financial-services or healthcare environments with formal change control and security review.

◦      Experience integrating governance/classification outputs with SIEM, IAM/IGA, and data-catalog tooling.

General

◦      6+ years combined experience in data security, data governance, or data engineering.

◦      SQL and at least one scripting language (Python preferred); comfortable with APIs and integration work.

◦      Strong client-facing communication — able to translate technical work into business and compliance language.

•      Direct experience with 1touch.io/Kontxtual specifically.

•      Portworx, Pure Storage, or other Kubernetes-native storage experience.

•      Exposure to AI/GenAI or agentic-AI data-readiness work.

•      Kubernetes certification (CKA/CKAD) and/or CISSP, CIPP, or CDMP.

•      Prior pre-sales, solution-engineering, or proof-of-concept experience.