Jobs at Veebot

• Design, develop, and maintain data pipelines, integrations, and data products using modern cloud data platform technologies.
• Develop and optimize database structures, data models, semantic models, transformations, and reusable data assets supporting operational, analytical, and AI workloads.

• Deliver timely, accurate, and high-quality support.
• Respond to database-related incidents, service requests, and operational issues in a professional and efficient manner.

• Define and execute the quality engineering strategy, standards, and roadmap.
• Establish and govern test automation standards, frameworks, and best practices.

• Engineer, implement, maintain, monitor, and troubleshoot enterprise network infrastructure across campus, branch, data center, cloud, wireless, WAN, and remote-access environments.
• Support advanced routing and switching, dynamic routing, data center networking, SD-WAN, wireless, cloud networking, high availability, resiliency, and disaster recovery.

• Data Platform Architecture & Enablement: Design, build, and maintain scalable, secure, and AI-ready data platforms that deliver governed data assets across the enterprise. Integrate with tools like Snowflake, Power BI, Alteryx, Kafka, and Boomi to unify data and enable real-time insights and self-service analytics.

• Design, develop, and maintain automated testing solutions that promote confidence in product quality and release readiness.

Design, develop and execute test plans, test cases, and automated regression suites for multi‑component solutions across parallel development efforts.
Analyze business requirements and technical design documents to assess completeness, identify testability gaps, and mitigate quality risks.
Execute and coordinate test validation activities using automated testing tools and modern quality engineering practices.
Identify, track, and validate defects; collaborate with development and delivery teams to support root‑cause analysis and resolution.

• Partner closely with application development teams to support solution design, planning, and delivery.
• Establish reusable solution patterns, integration approaches, and engineering practices that improve delivery speed and quality.

• Assist with configuring, deploying, and supporting computers, software, and mobile devices.
• Help maintain device management tools and support software installations and updates.

• Experiment with Generative AI models, frameworks, and platforms—such as Snowflake, Microsoft 365 Copilot, and others—to explore new capabilities for AI agent automation and intelligent workflows.
• Design and implement prompt engineering strategies, including advanced techniques such as Retrieval-Augmented Generation (RAG), to improve accuracy and contextual relevance.

• Collaborate with product owners to understand customer needs.
• Solve problems by reviewing the objectives and scope, gathering facts, analyzing data, and preparing alternatives.

• Help deliver timely, accurate, and high-quality support for database-related incidents, service requests, and operational issues.
• Assist with diagnosing database issues, troubleshooting root causes, and implementing effective resolutions.

• Understand how to analyze financial information out of appropriate systems to initiate the underwriting and decisioning
• Assist in monitoring direct, bought and sold loans within the Corporate and Commerical teams to ensure timely and accurate reporting.