Company: Keka HR

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Small/Medium Business

Company Type: Product &

- Service

Business Model: B2B

Funding Stage: Series A

Industry: Information Technology

Salary Range: ₹ 10-20 Lacs PA

Backend Developer &

- Lead Backend Developer

Key Responsibilities

Backend Development &

- API Engineering

- Design, develop, and maintain scalable backend services using Node.js, Express.js, TypeScript, and Azure Functions.
- Build secure, high-performance RESTful APIs and event-driven services to support enterprise applications.
- Design and optimize PostgreSQL databases, schemas, queries, and data models for scalability and performance.
- Develop microservices and serverless applications using Microsoft Azure cloud services.
- Implement authentication, authorization, security best practices, and reliable backend architectures.
- Ensure application reliability, scalability, observability, and performance through effective engineering practices.

AI &

- Intelligent Application Development

- Integrate Large Language Models (LLMs) such as Azure OpenAI, OpenAI, Anthropic, and similar AI services into business applications.
- Develop AI-powered workflows including document processing, conversational assistants, intelligent search, and workflow automation solutions.
- Design and implement Retrieval-Augmented Generation (RAG) solutions using embeddings and vector databases.
- Build AI agents capable of performing business tasks and orchestrating complex workflows.
- Evaluate and optimize prompts, AI-generated outputs, and model performance.
- Implement AI governance practices including guardrails, monitoring, security controls, and usage management.

Cloud Platform &

- System Integration

- Develop and deploy cloud-native applications using Microsoft Azure services.
- Design and implement integrations with third-party platforms through APIs, webhooks, and event-driven architectures.
- Build backend services and data pipelines supporting AI, analytics, and enterprise workloads.
- Work closely with frontend, product,



and AI teams to deliver scalable end-to-end solutions.
- Participate in architecture discussions, technical design reviews, and engineering decisions.

Database Design &

- Performance Optimization

- Design efficient PostgreSQL database structures and optimize queries for large-scale applications.
- Implement best practices for database performance, indexing, security, and reliability.
- Work with ORM technologies such as Prisma for efficient application development.
- Ensure data consistency, availability, and scalability across distributed systems.

Engineering Excellence &

- Development Practices

- Write unit tests, integration tests, and automated test suites to ensure application quality.
- Conduct code reviews and provide technical guidance to junior developers.
- Implement CI/CD pipelines and follow DevOps best practices.
- Use AI-assisted development tools such as Cursor, Claude Code, or similar platforms to improve engineering productivity.
- Follow Agile methodologies, coding standards, and software engineering best practices.

Distributed Systems &

- Architecture

- Design and develop scalable microservices-based architectures.
- Work with event-driven systems, message queues, and asynchronous processing frameworks.
- Ensure high availability, fault tolerance, and maintainability of backend systems.
- Contribute to technical roadmap discussions for AI-enabled product capabilities

AI Frameworks &

- Modern Development Practices

- Develop solutions using AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies.
- Work with vector databases such as Qdrant and Azure AI Search for AI-powered applications.
- Build and optimize AI agent workflows and orchestration frameworks.




- Apply prompt engineering techniques to improve AI accuracy and performance.
- Follow responsible AI practices including security, governance, and compliance standards.

Product &

- Platform Ownership

- Take ownership of backend components supporting enterprise SaaS applications.
- Develop scalable solutions supporting thousands of users and complex business workflows.
- Contribute to improving system performance, reliability, and developer productivity.
- Collaborate with cross-functional teams to deliver high-quality product features.

Skills &

- Qualifications

- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 4-9 years of experience in backend software development.
- Strong proficiency in Node.js, Express.js, TypeScript, and REST API development.
- Hands-on experience with Azure Functions and Microsoft Azure cloud services.
- Strong knowledge of PostgreSQL database design and optimization.
- Experience with microservices, distributed systems, and cloud-native architectures.
- Experience integrating AI/LLM services such as Azure OpenAI, OpenAI APIs, or Anthropic.
- Understanding of prompt engineering, RAG architectures, vector databases, and AI agents.
- Experience with AI-assisted development tools and modern software engineering practices.
- Solid understanding of Git, Agile methodologies, CI/CD pipelines, and DevOps practices.

Preferred Skills

- Experience with Azure AI Foundry / Azure AI Studio.
- Knowledge of messaging platforms such as Azure Service Bus, RabbitMQ, Kafka, or Event Hub.
- Experience with Docker, Kubernetes, and containerized deployments.
- Exposure to MLOps concepts and AI model deployment practices.
- Experience building SaaS, enterprise applications, or multi-tenant platforms.
- Knowledge of GraphQL and event-driven architectures.
- Experience in HR Tech, FinTech, Compensation Management, ESOP, or enterprise SaaS products.
- Experience building conversational AI, chatbots, and AI-powered workflow automation platforms.

📌 Backend Developer (Bengaluru)
🏢 Sourcingxpress
📍 Bengaluru