This role is for one of Zepcruit's clients.
Full Stack Developer
About Us
USIL Technologies is a digital-transformation and tech-talent partner helping innovative companies scale their engineering capabilities. We specialize in connecting skilled developers with high-impact projects and support enterprises in building modern, AI-driven and cloud-native solutions.
About The Client –
The client is a fast-growing European AI/IIoT company and a leading name in Smart Manufacturing for the metal industry. They specialize in industrial AI and SaaS solutions designed to enhance manufacturing efficiency through Predictive Quality and Predictive Maintenance. Their advanced platform leverages real-time data, analytics, and AI/ML models to help industrial enterprises reduce downtime, optimize processes, and accelerate smart-factory transformation.
The company operates its India development center from Pune.
Location: Baner- Balewadi, Pune (Office)
Work Mode: On-site (5 Days)
Job Description
Looking for a passionate Full Stack Developer (Level 2) to join clients technology team at Pune. You will be responsible for architecting, designing, developing, testing, leading software development efforts, and building infrastructure that supports Client industrial SaaS solutions.
Key Responsibilities:-
- Full Stack Development: Design, develop, and maintain scalable web applications using React with TypeScript (frontend) and Node.js or Python (backend).
- AI Integration: Collaborate with data scientists and ML engineers to integrate AI/ML models into TVarit's SaaS platform, ensuring seamless performance and usability.
- API Development & Optimization: Build and optimize high-performance REST APIs in Node.js and/or Python (Django, Flask, or FastAPI) to enable real-time data processing and analytics.
- Database Engineering: Design, manage, and optimize data storage using relational databases (PostgreSQL), NoSQL (MongoDB / DynamoDB), graph and vector databases to handle complex industrial datasets.
- Cloud-Native Deployment: Deploy, monitor, and manage services in containerized environments using Docker and Kubernetes on Linux (Ubuntu/Debian).
- System Architecture & Design: Contribute to architectural decisions, leveraging OOP, microservices, domain-driven design, and design patterns to ensure scalability, security, and maintainability.
- Data Handling & Processing: Work with large-scale manufacturing datasets using Python (pandas) to enable predictive analytics and AI-driven insights.
- Collaboration & Agile Delivery: Partner with cross-functional teams — including product managers, manufacturing domain experts, and AI researchers — to translate business needs into technical solutions.
- Performance & Security: Ensure robust, secure, and high-performance software by implementing best practices in algorithms, data structures, and system design.
- Continuous Improvement: Stay updated on emerging technologies in AI, SaaS, and manufacturing systems to propose innovative enhancements to TVarit's product capabilities.
Must-have Skills & Experience:-
- 5+ years of proven experience in production-level development with React + TypeScript and Node.js.
- Strong proficiency in Python, pandas, and building high-performance REST APIs using Node.js or Python frameworks (Django, Flask, FastAPI).
- Hands-on experience with databases: relational (PostgreSQL), NoSQL (MongoDB / DynamoDB), vector databases, and graph databases.
- Comfortable working in Linux environments (Ubuntu, Debian).
- Familiarity with version control (Git), and CI/CD pipelines.
- Excellent command over data structures & algorithms, software fundamentals.
- Solid understanding of software design & architecture: OOP, design patterns, micro-services or monolithic architectures, domain-driven design.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Basic working knowledge of cloud services (AWS) — e.g., S3, EC2, IAM, security groups.
What You Bring to the Table
- Strong problem-solving mindset and ability to design scalable solutions for industrial data and AI workloads.
- Ability to work collaboratively in cross-functional and agile teams.
- Eagerness to learn and adapt to evolving technologies in industrial SaaS, AI, and cloud-native systems.
