# Software Development Engineer - R01571170 at Brillio

Software Development Engineer - R01571170 at Brillio in Bangalore, Karnataka, India. Posted October 9, 2026.

- Company: Brillio
- Location: Bangalore, Karnataka, India
- Posted: 2026-10-09
- Apply: https://jobs.lever.co/brillio-2/ae3f6073-5741-42af-8b8c-1b2779bb4a8c/apply
- Source: https://jobmagic.ai/jobs/software-development-engineer-r01571170-brillio-wg5w48

## 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

## Description

**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.
**Mandatory Skills & Responsibilities**
- 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.
**AI Skills:**
- 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.