Senior Backend Engineer job opportunity at Weekday AI.



Date2026-02-09T11:00:46.814Z bot
Weekday AI Senior Backend Engineer
Experience: 8-years
Pattern: Full-time
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India

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. 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.

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