Enormous Enterprise LLC

Sr Staff Infrastructure Engineer Location(s): Sunnyvale CA - Hybrid- Locals only Long Term Contract What You'll Be Doing: Manage and maintain day-to-day operations of companys cloud infrastructure. Develop automation tools to streamline server provisioning and reduce SLA times. Scale infrastructure to support mass deployments (80-100 servers simultaneously). Troubleshoot hardware issues, especially with GPUs, and liaise with vendors. Transition companys environment to Kubernetes and containerized workflows. What Youll Bring to the Team: Solid hardware experience and GPU troubleshooting expertise. Strong Linux background Knowledge of PXE booting and server provisioning (bare metal) Experience with BMC/IPMI, BIOS, and enterprise-grade server management. Kubernetes proficiency (admin or developer). Familiarity with containerization technologies (Docker preferred). Experience with MAAS (nice to have) Proficiency in Python or Golang (preferred language) (nice to have) Kubernetes administration and deployment experience (nice to have) Experience with Ansible and Terraform (nice to have)

Job Title: ETL Developer US/GC only Location: Vacaville, CA (5 Days Onsite) Duration: Long-Term Contract Job Description We are looking for a ETL Developer with 4+ years of experience in designing, developing, and supporting ETL pipelines and data ingestion processes. Responsibilities Develop and maintain ETL/data ingestion pipelines. Extract, transform, and load data from various sources. Write and optimize SQL queries. Monitor ETL jobs and troubleshoot issues. Validate data quality and accuracy. Collaborate with business and technical teams. Required Skills 4+ years of ETL/Data Integration experience. Strong SQL skills. Experience with ETL tools (Informatica, SSIS, Talend, DataStage, or similar). Basic knowledge of Python or other scripting languages. Understanding of data warehousing and data transformation concepts. Good problem-solving and communication skills. Education: Bachelors degree in computer science, Information Systems, or related field preferred.

Roles: Workday AI Consultant Location: Detroit, MI - Remote Long Term Contract - 12 Months Extendable Rate: DOE Must have Skills: We are seeking a Workday AI Consultant with exceptional thought leadership capabilities and deep technical understanding. The ideal candidate will drive the strategic adoption, integration, and optimization of AI-powered solutions within the Workday ecosystem, while influencing industry best practices and guiding both clients and internal teams toward transformative outcomes. Key Responsibilities Thought Leadership: Serve as a subject matter expert in Workday AI, Proactively identify trends and understanding of Workday Illuminate, translating insights into actionable strategies. Client Engagement: Advise clients on the design, implementation, and enhancement of Workday AI capabilities, ensuring alignment with business objectives and maximizing return on investment. Technical Solutioning: Lead the architecture, configuration, and deployment of AI-driven features within Workday modules (e.g., HCM, Finance, Payroll). May also Troubleshoot complex technical issues and deliver scalable, secure, and high-performing solutions. Innovation & Enablement: Mentor and upskill internal teams on AI advancements within Workday. Drive continuous improvement by developing proof-of-concepts and piloting new functionalities. Stakeholder Collaboration: Partner with cross-functional teams, including business analysts, developers, and executive leadership, to ensure seamless project delivery and customer satisfaction. Governance & Best Practices: Establish and enforce standards, methodologies, and documentation for Workday AI deployments, ensuring compliance and data integrity. Qualifications Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of hands-on experience with Workday platforms, including at least 2 years focused on AI/ML integrations. Demonstrated track record of thought leadership and consulting in the HRIS or ERP domain Advanced understanding of AI concepts, machine learning algorithms, and their application within enterprise SaaS environments. Proficiency in Workday Studio, Workday Extend, and relevant APIs; experience with Python, R, or other programming languages is a plus. Excellent communication, presentation, and stakeholder management skills. Strong analytical, problem-solving, and project management abilities. Workday certification(s) preferred.