Senior Backend Engineer

About the job

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.

Requirements

• TypeScript
• JavaScript
• PostgreSQL
• Elasticsearch

Preferred Technologies

• TypeScript
• JavaScript
• PostgreSQL
• Elasticsearch