Weekday Ai

Senior Backend Engineer

  • Weekday Ai

Job Description

This role is for one of the Weekday's clients

Salary range: Rs 500000 - Rs 1800000 (ie INR 5-18 LPA)


Min Experience: 8 years

JobType: full-time

We are looking for a highly skilled Senior Backend Engineer to design, build, and scale robust backend systems that power high-performance, cloud-native applications. In this role, you will work on complex backend architectures, distributed systems, and microservices that support large-scale SaaS and AI-driven platforms. You will play a key role in technical decision-making, system design, and mentoring engineers while ensuring reliability, performance, and scalability.

Requirements

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Node.js with TypeScript/JavaScript.
  • Architect and implement microservices-based systems with a strong focus on performance, fault tolerance, and scalability.
  • Build and optimize data storage and search solutions using PostgreSQL and Elasticsearch.
  • Develop and maintain distributed systems capable of handling high throughput and low latency at scale.
  • Containerize applications using Docker and manage deployments using Kubernetes in production environments.
  • Implement and improve CI/CD pipelines to ensure fast, reliable, and automated deployments.
  • Work closely with DevOps, frontend, data, and product teams to deliver end-to-end solutions.
  • Ensure system security, observability, logging, monitoring, and graceful failure handling.
  • Participate in architecture discussions, code reviews, and technical design reviews.
  • Mentor junior and mid-level engineers and contribute to engineering best practices and standards.

Required Skills & Qualifications

  • 8–16 years of experience in backend engineering with strong hands-on expertise in Node.js.
  • Proficiency in TypeScript and JavaScript, with a strong understanding of asynchronous programming and event-driven architectures.
  • Solid experience building and maintaining microservices and distributed systems.
  • Strong knowledge of PostgreSQL (data modeling, indexing, query optimization) and Elasticsearch.
  • Hands-on experience with Docker and Kubernetes in production environments.
  • Deep understanding of cloud platforms such as AWS, Microsoft Azure, or GCP.
  • Experience setting up and maintaining CI/CD pipelines and automated testing workflows.
  • Strong problem-solving skills and the ability to design systems for scale and reliability.

Nice to Have

  • Experience working on high-scale SaaS platforms or AI-driven systems.
  • Exposure to event-driven architectures, message queues, or streaming platforms.
  • Experience with system observability tools, performance tuning, and cost optimization.

What You’ll Bring

  • A strong ownership mindset and ability to lead complex backend initiatives.
  • Excellent communication skills and the ability to collaborate across teams.
  • Passion for clean code, scalable architecture, and engineering excellence.