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.

Data Consultant, Databricks

AI Architect

AWS Engineer

NOC Technician