Senior Software Engineer

This role is for one of the Weekday's clients

Salary range: Rs 600000 - Rs 1200000 (ie INR 6 - 12 LPA)
Min Experience: 2 years

Location: Mumbai

JobType: full-time

We are seeking a highly skilled Senior Software Engineer to serve as the technical backbone of our digital platforms. This role focuses on building scalable backend systems, ensuring architectural integrity, and enabling high-performance AI-driven applications. The ideal candidate is a system-oriented engineer who excels at designing robust infrastructure, optimizing databases, and supporting large-scale user interactions.

Key Responsibilities:

Backend Architecture & API Development

• Design, develop, and maintain scalable server-side applications using Python (FastAPI/Django) or Node.js.
• Architect and optimize complex database systems across NoSQL (MongoDB) and relational databases (PostgreSQL/MySQL).
• Build secure, high-performance RESTful and GraphQL APIs for web and mobile platforms.

AI Infrastructure & Data Engineering

• Develop backend systems supporting AI workflows, including prompt pipelines, vector databases (e.g., Pinecone, Milvus), and asynchronous task processing (Celery/Redis).
• Deploy and manage large language models (LLMs) and ML models in production environments with a focus on scalability and low latency.

Cloud Operations & DevOps

• Manage and optimize cloud infrastructure on platforms such as AWS or GCP.
• Lead containerization efforts using Docker/Kubernetes and maintain CI/CD pipelines.
• Implement security best practices including OAuth, JWT, and data encryption.

System Design & Performance Optimization

• Handle system-level programming challenges including concurrency, memory management, and performance bottlenecks.
• Ensure high availability, fault tolerance, and efficient resource utilization across systems.

Required Skills & Qualifications:

• 5+ years of experience in backend or full-stack engineering roles.
• Strong expertise in Python and/or Node.js.
• Deep understanding of database design, optimization, and large-scale data handling.
• Hands-on experience with cloud platforms (AWS or GCP).
• Familiarity with caching systems and messaging queues such as Redis or RabbitMQ.
• Proven ability to design and scale distributed systems.
• Experience integrating AI/ML models, especially LLMs, into production systems.

Preferred Skills:

• Exposure to full software development lifecycle (SDLC).
• Experience working on high-scale platforms with large user bases.
• Strong debugging and performance optimization capabilities.