Backend Developer

SourcingXPress; Bengaluru; Presencial; INR 1.000.000 - 2.000.000; Jornada completa

Descripción de la vacante

Keka HR in Bengaluru is seeking a Backend Developer and Lead Backend Developer to design, build, and scale backend services using Node.js, Express.js, TypeScript, and Azure Functions. The role emphasizes secure APIs, cloud-native architecture, and enterprise-grade performance.

The ideal candidate will drive AI/LLM integration, RAG workflows, and multi-service orchestration, while mentoring juniors and shaping technical decisions in a fast-paced product environment.

Formación

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4-9 years of backend software development experience.
• Strong proficiency in Node.js, Express.js, TypeScript, and REST API development.

Responsabilidades

• 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 for enterprise apps.
• Design and optimize PostgreSQL schemas, queries for scalability and performance.
• Develop microservices and serverless applications on Azure cloud.
• Implement authentication, authorization, security best practices, and reliable backend architectures.
• Ensure reliability, observability, and performance through best practices.

Conocimientos

AI/LLM integration

Prompt engineering

Distributed systems

Cloud architectures

CI/CD

Agile methodologies

Code reviews

Git workflows

Testing

Architectural design

Educación

Bachelor's degree in Computer Science or Engineering

Herramientas

Node.js

Express.js

TypeScript

Azure Functions

PostgreSQL

REST API

Prisma

Docker

Kubernetes

Descripción del empleo

Backend Developer & Lead Backend Developer

• 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.
• 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.
• 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.

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

Job Description

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.
• Strong 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.