Technology & Software Openings

Set and drive the technical vision for the team and partner with peer staff/principal engineers to shape direction across adjacent teams (data platform, reporting, internal and external frontends & apps). KBRA Holdings, LLC) is seeking an engaged and proactive Data Engineer to work with our financia

Maintain an up-to-date understanding of emerging trends in real-time communication technologies and AI integration. Optimize system scalability and reliability through effective use of containerization and cloud services. Oversee project timelines, sprint planning, and resource allocation, working c

Experience integrating AI into front-end and back-end workflows, integrating AI/ML APIs into applications, familiarity with LLMs, embeddings, and RAG architectures, and understanding of AI governance, responsible AI, and data handling constraints. This role will own end-to-end solution delivery acro

Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes. We combine our expertise with the world’s leading technologies — across applications, data and security — to de

Champion AI development practices and mentor the engineering org on using AI to increase sprint velocity and code quality. This is an AI-native role: you should have fundamentally evolved your development workflow using LLMs and AI agents. We promote both personal and professional development, with

As the Full Stack Engineer, you will ship the user-facing surfaces that turn the team's backend into something teams actually use: trust-admin UIs, eval dashboards, agent operator consoles, and application embeds. This position is remote-friendly and, as such, final compensation will be determined b

The Semantic Data and AI Engineer will be part of a team working on innovative projects and developing orchestrated data solutions to integrate, enrich, and transform a range of knowledge assets (structured and unstructured) for Artificial Intelligence (AI) solutions. The right candidate will have a

Build full-stack systems that enable data ingestion, fusion, analysis, and visualization across cloud and edge environments. Candidates need to be able to obtain and maintain U. Ability to obtain and maintain U.

We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Strong understanding of the AI/ML and cloud ecosystem (infrastructur

Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem. Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state