Brillio
Brillio
Brillio is a technology consulting company helping organizations navigate digital transformation across healthcare, insurance, logistics, financial services, telecom and media, life sciences, and retail. Its work spans customer experience, data and AI, generative AI, product and platform engineering, and infrastructure, cloud, and security. Brillio combines engineering expertise with industry knowledge to develop digital products and modernize technology environments, helping businesses respond to changing market and technology demands.

Senior Data Scientist

Lead the development of scalable web applications at Brillio, guiding front-end architecture, backend APIs, cloud deployments, and engineering teams.

Description

  • Lead the design and development of scalable, responsive web applications
  • Own front-end architecture, reusable component libraries, and enterprise UI standards
  • Build user interfaces with React, Angular, Next.js, or similar frameworks
  • Design and implement backend services and APIs using Node.js, .NET, Java, or Python
  • Mentor development teams on architecture, coding practices, and technical decisions
  • Work with product owners, UX designers, architects, and engineering teams
  • Promote engineering quality through code reviews, standards, and quality governance
  • Lead cloud-native deployments with CI/CD pipelines, Docker, Kubernetes, and cloud platforms

Requirements

  • Bring at least 8 years of software engineering experience, specializing in front-end development and technical leadership; AI-assisted engineering experience is preferred
  • Demonstrate expert knowledge of React, Angular, Next.js, TypeScript, JavaScript, HTML5, and CSS3
  • Understand responsive design principles
  • Know accessibility standards, including WCAG guidelines
  • Apply front-end performance profiling and optimization techniques
  • Have backend development expertise in Node.js, .NET, Java, or Python
  • Develop APIs using REST and GraphQL
  • Bring cloud platform experience, preferably with Azure; AWS or Google Cloud experience is also acceptable
  • Configure CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools
  • Use Docker and Kubernetes for containerization and orchestration
  • Work with SQL databases such as SQL Server, PostgreSQL, and MySQL
  • Work with NoSQL databases such as Cosmos DB, MongoDB, and DynamoDB

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