Design, build, and scale customer-facing full-stack platforms, owning frontend and backend solutions across React, APIs, microservices, distributed systems, and AWS while improving reliability and mentoring engineers.
Brillio jobs
Enterprise digital transformation consulting and solutions provider.
155 open roles at Brillio
Lead complex, high-impact technical programs across platform engineering, aligning engineering, product, security, and business teams while improving delivery, operational scale, and engineering effectiveness.
Design and maintain scalable Java backend services, microservices, and APIs; shape distributed-system architecture, optimize databases and messaging, and improve deployment pipelines and production performance.
Build and maintain end-to-end applications, APIs, and distributed services using React, Java, Node.js, and cloud technologies, while improving reliability, performance, and engineering practices.
Principal Data Engineer designing and leading large-scale AWS data platforms, pipelines, and MDM integrations with Stibo, while improving data processing, streaming, infrastructure performance, and engineering practices.
Leads full-stack software development, designing Python microservices and React applications while owning CI/CD, APIs, databases, container orchestration, code quality, and developer mentorship.
Analyze financial performance and business operations, manage vendor relationships and Statements of Work, and develop reporting that supports budgeting, forecasting, cost control, compliance, and process improvement.
Own Microsoft 365 architecture and modernization, leading secure platform design, identity and collaboration solutions, enterprise migrations, governance, and technical escalation across large-scale environments.
Leads the design, deployment, and operation of enterprise AI/ML and GenAI solutions, building agentic systems and MLOps practices while guiding engineers and improving model performance, reliability, and scale.
Leads the growth and delivery of a data engineering and analytics practice, shaping go-to-market offerings, major deals, client relationships, and global teams while advancing Data and AI services.
Own the strategy, design, development, and delivery of AI and digital products, guiding initiatives from ideation through scale while aligning teams and capabilities to business priorities and measurable outcomes.
Lead end-to-end migrations from Azure Synapse Analytics to Microsoft Fabric, owning migration strategy, data pipeline implementation, performance tuning, governance, validation, and post-migration optimization.
Leads the design and delivery of scalable Java full-stack applications, shaping microservices and REST APIs while guiding front-end development, code quality, testing, and Agile execution.
Architect end-to-end Azure applications and platforms across web, APIs, data, and AI, guiding cloud-native architecture, healthcare integrations, DevSecOps practices, and engineering teams.
Leads quality engineering for web applications and microservices, designing test strategies and validating AI-powered healthcare features, APIs, integrations, accessibility, and chatbot responses.
Develop AI-powered healthcare applications and conversational assistants, building RAG solutions, agentic workflows, and APIs while supporting secure, observable, and efficient member experiences.
Develops responsive healthcare web applications and scalable Azure services, integrating APIs, conversational AI, and secure data workflows while supporting containerized deployments, observability, and automated testing.
Design and maintain scalable IICS ETL/ELT pipelines and Snowflake data warehouse solutions, optimizing data integration, transformations, loading strategies, quality, and performance for business analytics.
Design and optimize Snowflake-based data pipelines, integration frameworks, and warehouse models, partnering with BI and analytics teams to deliver reliable, governed data solutions.
Architect web and mobile solutions using Next.js and React, translating business needs into technical designs while guiding architecture decisions, engineering practices, and technical teams.
Develop and optimize Snowflake data pipelines and models, automate processing with Python, Airflow, and DBT, and support secure, high-quality cloud data platforms and enterprise transformations.
Designs and optimizes Snowflake data warehouses, builds scalable ETL/ELT pipelines with dbt, SQL, and Python, and enables analytics through reliable data models, transformations, and quality practices.
Develops production-grade data science and generative AI solutions, using Snowflake and Cortex AI capabilities to build intelligent, data-driven applications and integrate models with enterprise data platforms.
Leads Salesforce product development and architecture, overseeing managed-package strategy, engineering standards, and secure, scalable solutions while guiding teams and partnering with clients and cross-functional stakeholders.
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