The Role
Build and ship full-stack applications across backend, frontend, cloud, databases, APIs, and containerized infrastructure. Own features independently through sprint and release cycles, design scalable event-driven systems, optimize performance, and maintain strong testing and Git practices. The role also involves using AI tools, developing RAG and LLM-powered features, and exploring agentic or multi-agent architectures.
Summary Generated by Built In
Software Development Engineer
Job requirements
- Proven experience building and shipping full-stack applications in a professional product-based environment.
- Ability to independently own and deliver features or systems across sprint/release cycles.
- Strong hands-on experience with at least one modern backend stack, such as Java, Python, or Node.js/NestJS, with solid understanding of performance tuning, memory management, and concurrency.
- Strong experience with modern frontend development using React and SSR-based frameworks where applicable, including routing, state management, and performance optimization.
- Working knowledge of a major cloud platform such as GCP or Azure, including production deployments, containers, serverless services, messaging, IAM, and cost-aware operations.
- Strong SQL fundamentals, including query optimization, indexing, schema design, and data modeling, with working knowledge of at least one NoSQL database.
- Proven ability to design scalable and resilient systems using caching, load balancing, and event-driven architecture.
- Comfortable working in an Agile/Scrum environment, with a track record of independently delivering features across sprints and releases.
- Strong Git practices, including sensible branching strategies and clean release management.
- Experience designing REST and/or GraphQL APIs, including versioning and backward compatibility.
- Strong testing mindset, with experience in unit, integration, and contract testing.
- Hands-on experience with Docker and container orchestration platforms such as Kubernetes.
- Comfortable using AI tools in day-to-day engineering work to move faster, work smarter, and stay cost-aware while doing it
- Familiarity with Retrieval Augmented Generation (RAG) architectures — semantic layers for data retrieval and grounding LLM responses in real, trustworthy data
- Practical experience with at least one LLM application framework (LangChain, LangGraph, Google GenAI tools, or similar) for prototyping and integrating AI-driven features
- Exposure to agentic or multi-agent AI systems — agent roles, tool use, memory, and workflow orchestration.
Mandatory Skills & Responsibilities
AI Skills:
Skills Required
- Professional experience building and shipping full-stack applications in a product-based environment
- Ability to independently own and deliver features or systems across sprint and release cycles
- Hands-on experience with a modern backend stack such as Java, Python, or Node.js/NestJS
- Understanding of performance tuning, memory management, and concurrency
- Experience with React and SSR-based frontend frameworks, including routing, state management, and performance optimization
- Working knowledge of GCP or Azure, including deployments, containers, serverless services, messaging, IAM, and cost-aware operations
- Strong SQL fundamentals, including query optimization, indexing, schema design, and data modeling
- Working knowledge of at least one NoSQL database
- Ability to design scalable and resilient systems using caching, load balancing, and event-driven architecture
- Experience working in an Agile/Scrum environment
- Strong Git practices, branching strategies, and release management
- Experience designing REST or GraphQL APIs, including versioning and backward compatibility
- Experience with unit, integration, and contract testing
- Hands-on experience with Docker and Kubernetes or another container orchestration platform
- Comfort using AI tools in day-to-day engineering work
- Familiarity with Retrieval Augmented Generation architectures
- Practical experience with an LLM application framework such as LangChain, LangGraph, or Google GenAI tools
- Exposure to agentic or multi-agent AI systems
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.
Brillio Insights
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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.
