
Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.
Open Positions at Brillio
95 open positions
Lead the architecture, development, customization, and integration of Microsoft Dynamics 365 and Dynamics CRM solutions for complex enterprise requirements. The role combines hands-on engineering, technical leadership, system optimization, and mentorship.
Lead the design, development, and deployment of scalable Salesforce Commerce Cloud eCommerce solutions, including personalized experiences, order management, and third-party integrations. The role combines hands-on engineering with technical team leadership and mentoring.
Senior Cloud Engineering Specialist responsible for designing, migrating, and operating large-scale HPC infrastructure in public cloud environments. The role focuses on site reliability, observability, incident response, automation, and Linux-based cloud operations.
Lead the development of scalable machine learning pipelines, distributed processing systems, and low-latency inference solutions for forecasting and personalization. This Bangalore-based role combines deep learning, statistical modeling, real-time streaming, and production ML engineering.
Software Development Lead responsible for building and supporting full-stack .NET solutions, APIs, integrations, and cloud infrastructure. The role combines Angular development, backend services, data migrations, authentication, and infrastructure automation.
Lead enterprise PEGA application development, designing scalable workflows, integrations, and business-rule solutions for complex business processes. The role combines hands-on PEGA expertise with troubleshooting, performance tuning, and cross-functional delivery.
The AI Engineer role is responsible for developing AI-related software and systems. No further responsibilities or qualifications are provided.
Lead Engineer responsible for building and owning production Python services, reusable libraries, APIs, and automation. The role emphasizes FastAPI, Pydantic, data modeling, reliable dataset processing, and production engineering practices.
Build and ship scalable full-stack applications as a Software Development Engineer, spanning backend, frontend, cloud infrastructure, databases, and AI-enabled features. The role emphasizes independent feature ownership, resilient system design, and practical use of modern AI tooling.
Lead the design, development, integration, and deployment of scalable Salesforce solutions across multiple Salesforce Clouds. This role combines hands-on Apex development, platform architecture, CI/CD, and technical leadership for complex enterprise deployments.
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