The HTM Cybersecurity Program Manager leads cybersecurity and clinical technology programs at a healthcare system, managing a team responsible for diagnostic imaging and therapeutic equipment maintenance, regulatory compliance, and incident response. The role requires directing staff performance, managing budgets and procurement, and ensuring HIPAA and Joint Commission compliance while mentoring technical teams. Key responsibilities include risk assessment, cybersecurity strategy implementation, audit readiness, and collaboration with clinical teams to resolve technology issues affecting patient care. The ideal candidate brings 3+ years of management experience, 5+ years in healthcare technology operations, and deep knowledge of healthcare regulatory frameworks.
Software Gigs
Lead Veracyte's Quality Engineering Platform team as Manager of Software Test Automation, defining quality strategy and building scalable automation frameworks that enable product teams to own software quality. Manage a team of SDETs, Automation Engineers, and Quality Platform Engineers to develop self-service testing platforms, reusable automation libraries, and AI-assisted quality tools supporting unit, integration, API, UI, end-to-end, regression, performance, security, and compliance testing. Establish modern engineering practices, quality standards, and reference architectures across the organization while fostering a culture of innovation and continuous improvement. Drive Veracyte's strategy for AI throughout the software testing lifecycle, including automated test generation, regression analysis, defect classification, and synthetic test data creation.
This role owns the day-to-day operation of a compliance program end to end, managing compliance frameworks (SOC2 Type II, HIPAA, NIST, ISO), continuously monitoring and remediating control failures, and administering workforce security systems (Google Workspace and MDM). The manager will coordinate external audits, maintain policies and evidence collection, track risks, and drive remediation from detection to closure without heavy delegation. The role requires hands-on experience with compliance automation platforms and direct IT administration of identity and access management systems.
Own and evolve infrastructure, deployment systems, and cloud environments powering Clinically AI's healthcare AI platform. Design and maintain GCP infrastructure with focus on GKE, Kubernetes, and secure multi-environment deployments; build Infrastructure-as-Code using Terraform and Helm charts; optimize CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response. Work closely with Backend, AI, and Product teams to support scalable infrastructure for services, AI pipelines, and high-throughput workloads.
Senior Database Engineer II will build and maintain scalable data pipelines using Azure Data Factory, Databricks, Azure Synapse Analytics, and Snowflake. The role requires designing and implementing conceptual, logical, and physical data models, leading system integration efforts, and architecting multi-tenant database solutions for the medical device industry. You'll provide technical leadership on data engineering standards, conduct code and design reviews, and collaborate across geographically dispersed teams in an Agile environment. The position demands 7+ years of database design and software development experience, with a strong focus on healthcare compliance and data governance.
Own end-to-end compliance program operations for a healthcare AI company, managing compliance frameworks (SOC2 Type II, HIPAA, NIST, ISO), continuously monitoring and remediating control failures, and maintaining audit-readiness. Administer Google Workspace and MDM tooling, including user lifecycle management, access controls, and endpoint compliance. Coordinate external audits, manage evidence collection, and drive remediation from detection to closure while partnering with engineering, product, and leadership to scale compliance rigor as the company grows.
Own and evolve the cloud infrastructure, deployment systems, and CI/CD pipelines powering Clinically AI's healthcare platform on GCP. Design and maintain cloud infrastructure using GKE, Terraform, and Helm; build reliable CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response processes. Work closely with Backend, AI, and Product teams to support scalable infrastructure for AI pipelines, real-time processing, and multi-environment deployments. Operate with significant autonomy across cloud-native architecture while optimizing for performance, reliability, cost, and compliance.
Director leading a pre-sales security engineering team responsible for technical strategy, solution design, and customer-facing support across EVOTEK's cybersecurity portfolio. The role combines deep technical security expertise with people leadership, requiring mentorship of engineers/architects, oversight of enterprise solution design and proof-of-concept engagements, and alignment of technical capabilities with sales and delivery practices. Responsibilities include RFP response, competitive positioning, vendor management, and technical presentations spanning AI security, network security, cloud security, identity & access management, endpoint/XDR, SIEM/SOAR, zero-trust architecture, and data protection. Must understand the VAR business model and translate complex technical capabilities into business value for enterprise stakeholders.