Senior Backend Engineer(Experience 8+ year )

Job Title: Senior Backend Engineer

Experience: 8–10 Years

Employment Type: Contractual

Location: Chennai / Bangalore

Role Overview

We are seeking a highly experienced Senior Backend Engineer to design and scale enterprise-grade, AI-powered applications focused on knowledge automation and conversational intelligence.

This role demands deep expertise in building high-performance backend systems, optimizing data platforms, and collaborating with AI, Platform, and DevOps teams to deliver scalable, reliable, and secure distributed systems.

Key Responsibilities

• Architect, design, and develop scalable backend systems using TypeScript / JavaScript (Node.js).
• Design and optimize data models, complex queries, and indexing strategies using PostgreSQL and/or Elasticsearch for high-volume workloads.
• Build and maintain backend systems supporting AI/ML pipelines, semantic search, content classification, and detection engines.
• Develop high-throughput, low-latency APIs capable of scaling across global deployments.
• Implement distributed system best practices for caching, load balancing, and horizontal scalability.
• Integrate machine learning inference, vector indexing, and semantic search into production-grade systems.
• Ensure system reliability, fault tolerance, and data consistency across microservices architectures.
• Establish and enforce standards for code quality, observability, CI/CD, and performance monitoring.
• Collaborate with DevOps teams to manage containerized deployments using Docker and Kubernetes.
• Mentor engineers, conduct architecture reviews, and contribute to long-term platform roadmap.
• Advocate secure coding practices, API security, database access controls, and performance-aware development.

Required Skills & Experience

• 8–10 years of backend engineering experience in high-scale SaaS or AI-driven environments.
• Strong expertise in: PostgreSQL , Elasticsearch
• Advanced proficiency in TypeScript & JavaScript (Node.js).
• Experience building and scaling systems handling millions of transactions.
• Strong knowledge of distributed systems, caching strategies, and system design.
• Hands-on experience with message queues and event-driven architectures: Apache Kafka / RabbitMQ / AWS SQS
• Experience with containerization and orchestration: Docker & Kubernetes
• CI/CD experience using GitHub Actions, Jenkins, or Azure DevOps.
• Working knowledge of cloud platforms (AWS / Azure / GCP).
• Familiarity with monitoring and observability tools: Grafana, Prometheus, ELK stack
• Strong understanding of API security, authentication, authorization, and rate limiting.
• Excellent debugging, performance tuning, and problem-solving skills.