The Role
Leads the architecture and development of scalable front-end and backend web applications. Owns component libraries, enterprise UI standards, APIs, cloud-native deployments, CI/CD, automated testing, and engineering quality practices. Mentors teams, collaborates cross-functionally, and applies AI-assisted development tools to improve productivity across the SDLC. Requires expertise in modern front-end frameworks, backend technologies, cloud platforms, containers, databases, and enterprise software architecture.
Summary Generated by Built In
Lead Engineer
Job requirements
- Lead the design and development of modern, responsive, and scalable web applications, delivering exceptional user experience and performance
- Architect and own front-end solutions, including reusable component libraries and enterprise UI standards
- Develop high-quality user interfaces using React, Angular, Next.js, or similar frameworks, ensuring accessibility and cross-browser compatibility
- Design and implement robust backend services and APIs using Node.js, .NET, Java, or Python, integrating seamlessly with enterprise systems
- Mentor and guide development teams on architecture, coding best practices, and technical decision-making to drive engineering excellence
- Collaborate with product owners, UX designers, architects, and engineering teams to deliver business-critical solutions
- Drive technical excellence through code reviews, engineering standards, and quality governance
- Partner with AI agents for code generation, testing, documentation, and review activities, leveraging AI-native development tools
- Contribute across all phases of the SDLC: Plan, Design, Develop, Test, Deploy, Operate, and Optimize
- Implement automated testing frameworks covering unit, integration, API, and UI testing to ensure code quality and reliability
- Lead cloud-native deployments using CI/CD pipelines, Docker, Kubernetes, and cloud platforms, optimizing for scalability, security, and compliance
- Identify and implement opportunities to improve engineering productivity through AI-driven development practices and automation
- Expert proficiency in React, Angular, Next.js, TypeScript, JavaScript (ES6+), HTML5, and CSS3
- Experience building reusable component libraries and enterprise design systems
- Strong understanding of responsive design, accessibility (WCAG), performance optimization, and modern UI patterns
- Hands-on experience with Node.js, .NET, Java, or Python for backend development
- API development using REST and GraphQL
- Experience integrating front-end applications with enterprise backend services
- Cloud-native development experience with Azure (preferred), AWS, or GCP
- CI/CD pipeline automation using Azure DevOps, GitHub Actions, or similar tools
- Containerization and orchestration using Docker and Kubernetes
- Experience with SQL databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases (Cosmos DB, MongoDB, DynamoDB)
- Version control using Git and modern branching strategies
- Hands-on experience with AI-assisted development tools such as GitHub Copilot, Copilot Workspace, Cursor, or similar platforms
- Experience with Micro Frontend Architecture
- Experience with Enterprise Design Systems
- Knowledge of Server-Side Rendering (SSR) and Static Site Generation (SSG)
- Experience with event-driven architectures and message queues
- Exposure to GenAI, Agentic AI platforms, or AI-powered applications
- Understanding of observability tools, monitoring, logging, and distributed tracing
- Experience developing enterprise SaaS applications
- Ability to leverage prompt engineering techniques for software development tasks
- Knowledge of responsible AI practices, governance frameworks, and human-in-the-loop systems
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline
- Relevant certification such as Microsoft Certified: Azure Developer Associate, AWS Certified Developer – Associate, or Google Professional Cloud Developer
- Certification in front-end frameworks (e.g., React, Angular) or AI-native development tools is a plus
Experience Range: With at least 8 years of professional software engineering experience, including a minimum of 2 years in technical leadership roles and deep expertise in front-end web development within AI-augmented environments Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
Skills Required
- At least 8 years of professional software engineering experience
- At least 2 years in technical leadership roles
- Expert proficiency in React, Angular, Next.js, TypeScript, JavaScript, HTML5, and CSS3
- Experience building reusable component libraries and enterprise design systems
- Understanding of responsive design, accessibility, performance optimization, and modern UI patterns
- Hands-on experience with Node.js, .NET, Java, or Python
- REST and GraphQL API development experience
- Experience integrating front-end applications with enterprise backend services
- Cloud-native development experience with Azure, AWS, or GCP
- CI/CD automation using Azure DevOps, GitHub Actions, or similar tools
- Containerization and orchestration experience with Docker and Kubernetes
- Experience with SQL and NoSQL databases
- Version control experience using Git and modern branching strategies
- Hands-on experience with AI-assisted development tools such as GitHub Copilot, Copilot Workspace, or Cursor
- Experience with Micro Frontend Architecture
- Knowledge of server-side rendering and static site generation
- Experience with event-driven architectures and message queues
- Exposure to GenAI, agentic AI platforms, or AI-powered applications
- Understanding of observability, monitoring, logging, and distributed tracing
- Experience developing enterprise SaaS applications
- Prompt engineering experience for software development tasks
- Knowledge of responsible AI practices, governance frameworks, and human-in-the-loop systems
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline
- Relevant cloud or front-end framework certification
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
