Job Description
Position- Sr Software Engineer (Node.js)
Exp- 5+ yrs
Location- Pune (Balewadi/ 5 days work from office)
Budget- upto 18 lacs
Role summary
You will own the design, development, and delivery of core modules on company's enterprise SaaS platform. The work is primarily backend APIs, database architecture, background services, and integrations with frontend involvement when features require full-stack ownership.
Backend development
Design and build server-side architecture: APIs, data models, background jobs, and third-party integrations
Write effective RESTful APIs using Python or Node.js that serve both the web application and mobile clients
Design and manage MongoDB databases schema design, indexing, query optimisation, and data integrity at scale, etc.
Build and maintain background services and data pipelines that process high-volume data reliably and efficiently
Implement security and data protection measures appropriate for enterprise clients
Frontend contribution
Contribute to the frontend using Vue.js when features require full-stack ownership, you should be comfortable building and maintaining frontend components
Ensure application responsiveness and performance across browsers and devices
Must-have skills
4–7 years of professional software development experience with a strong backend focus
Proficiency in writing APIs using Python or Node.js you should be able to design, build, and optimise APIs independently
Hands-on experience with MongoDB or other NoSQL databases including schema design, aggregation pipelines, and performance tuning
Working knowledge of frontend development with Vue.js enough to own full-stack features when needed
Experience with version control (Git), CI/CD pipelines, and deployment workflows
Ability to write clean, testable, well-documented code and conduct thorough code reviews
Clear communication skills you can explain technical decisions to non-technical stakeholders and write documentation that others can follow
Good-to-have skills
AI assisted coding workflows.
Experience with cloud platforms (AWS / GCP) and containerisation (Docker, Kubernetes)
Exposure to microservices architecture, event-driven systems, or message queues
Experience building data pipelines or working with high-volume data processing
Prior experience in SaaS or enterprise product companies
Familiarity with ML/AI integration at the application layer
More Info
About Company
