The Security Intake Automation Engineer will design and maintain integrations to automate security intake, triage, and workflow processes. They will also develop AI-assisted workflows and ensure data quality across enterprise systems.
The Security Automation & Integration Engineer will design and maintain integrations between enterprise systems to automate security intake and triage processes. They will also develop AI-assisted workflows and ensure data quality across multiple platforms to improve operational efficiency.
The Security Engineer will serve as the primary point of contact for users of application and cloud security tools, providing guidance and troubleshooting support. They will manage security requests via ticketing platforms and assist teams in understanding and remediating security findings.
The Partner Channel Sales Director is responsible for building, scaling, and leading a high-performing partner ecosystem to drive revenue growth and market expansion. They will manage partner programs, recruit strategic partners, and collaborate with sales and marketing teams to execute joint go-to-market initiatives.
The Partner Channel Sales Director is responsible for building and scaling a high-performing partner ecosystem to drive revenue growth and market expansion. They will manage partner programs, recruit strategic partners, and collaborate with sales and marketing teams to execute joint go-to-market initiatives.
Design, build, and maintain production-grade Python automation solutions to enhance security operations and engineering efficiency. Collaborate with cross-functional teams to integrate enterprise security platforms and manage cloud-native infrastructure using Infrastructure as Code.
The Data Practice Lead will architect scalable data solutions and guide enterprise-scale data transformations across modern cloud platforms. They will also lead pre-sales efforts, advise client executives on data strategy, and mentor technical teams to ensure successful project delivery.
The architect will design and operationalize modern cloud data platforms using Databricks Lakehouse and Medallion architecture. They will provide technical leadership for data engineering, analytics, and AI workloads while enforcing governance and security standards.
Design and develop scalable data integration solutions to extract and transform data from the Epic ecosystem into modern platforms like Snowflake. Collaborate with architects and stakeholders to improve data accessibility and streamline integration workflows.
Lead discovery and assessment efforts to evaluate organizational data landscapes and readiness for AI-driven initiatives. Collaborate with stakeholders to document requirements, analyze current-state processes, and provide actionable recommendations for future-state solutions.
