Verinext

Consultant

• Lead the development of scalable data pipelines within the Databricks ecosystem
• Architect robust ETL/ELT processes using a "configuration-as-code" approach
• Migrate data ingestion and transformation workloads to Databricks using Lake flow declarative pipelines

Data Consultant, Databricks

AI Engineer

• A growing, technology-driven professional services organization is seeking an AI Architect to join its team.
• This role is a senior technical and strategic leadership position responsible for driving the organization’s AI vision from concept through commercialization.
• The AI Architect will design and implement AI systems, lead development teams, guide enterprise AI architecture, and partner closely with executive leadership and business stakeholders to identify opportunities, drive adoption, and deliver measurable business value.
• This role blends deep hands-on technical expertise with product strategy, business alignment, and organizational leadership.
• Experience deploying AI solutions at scale in real-world production environments is essential. Experience in legal services, litigation support, medical records, insurance, or other regulated industries is a strong plus.

AI Architect

Cloud Engineer

• Support a Lead Engineer in building an AWS-based platform
• Automate provisioning, management, and governance of AWS accounts
• Contribute directly to feature development, automation workflows, platform reliability
• Execute high-quality engineering work with minimal oversight
• Enhance automation workflows and implement Infrastructure as Code using Terraform
• Collaborate with Lead Engineer on design decisions and testing

AWS Engineer

Network Operations

• - Monitor and triage incoming tickets, alerts, and calls.
• - Troubleshoot and resolve issues where possible, focusing on backup and recovery (Commvault, Cohesity, Zerto) and general system support.
• - Escalate unresolved or critical issues to on-call engineers following documented procedures.
• - Perform routine health checks and monitoring for customer environments.
• - Document all work performed, including resolutions and escalations, in the ticketing system.
• - Collaborate with Service Desk and Engineering teams to ensure smooth hand-offs and issue resolution.
• - Contribute to knowledge base articles and process improvements.

NOC Technician

QA Automation Engineer

• We are seeking a Senior Cloud & Infrastructure Automation Engineer with deep expertise in Terraform, Microsoft Azure, and Databricks to design, automate, and evolve cloud infrastructure and data platforms.
• This role sits at the intersection of cloud infrastructure, identity-driven provisioning, and data integration, and requires both hands-on execution and the ability to influence better technical approaches across the organization.
• The ideal candidate brings strong engineering fundamentals, modern automation practices, and the flexibility to help shape how infrastructure and data platforms are provisioned, integrated, and delivered at scale.
• This is a contract opportunity with one of Verinext's clients. Candidates must be comfortable working West Coast hours.

Senior Cloud & Automation Engineer

ServiceNow

• Serve as a subject matter expert for ServiceNow CMDB and ITOM, ensuring data integrity, accuracy, and effective utilization.
• Design, enhance, and manage business continuity and operational processes within the ServiceNow platform.
• Analyze existing processes and procedures to identify opportunities for optimization, efficiency, and alignment with operational objectives.
• Facilitate education sessions, workshops, and discussions with stakeholders to improve understanding of ServiceNow capabilities and process interdependencies.
• Collaborate with cross-functional teams to ensure seamless integration and alignment of IT services across the organization.
• Evaluate how interconnected ServiceNow components function together and recommend innovative improvements to maximize value.
• Act as a strategic advisor rather than a traditional implementation lead, focusing on process refinement and evolution rather than net-new deployments.
• Document process flows, recommendations, and best practices to support long-term scalability and consistency.

Data Consultant, Databricks

AI Architect

AWS Engineer

NOC Technician

Senior Cloud & Automation Engineer

ServiceNow SPM Consultant