Intellithink Industrial IoT

We are technology-driven company focused on improving the health and efficiency of industrial machinery. We help manufacturing units optimize performance, reduce downtime, and extend equipment life through advanced condition monitoring, predictive maintenance, and AI-powered analytics We&aposre Hiring: Backend & ML Engineer: Cloud-Native Systems Experience: 3+ Years Location: Domlur, Bengaluru Employment Type: Full-time Key Responsibilities: Design, develop, and maintain backend services using Node.js , ensuring performance, reliability, and scalability. Build, maintain and update Python codebases and build RESTful APIs in Python Architect and implement RESTful APIs and microservices to support application and data workflows. Leverage a suite of AWS services (e.g., Lambda, EC2, S3, RDS, DynamoDB, SNS/SQS) for cloud-native, serverless, and event-driven architectures. Build and maintain data & ML pipelines for ingestion, transformation, analysis, and reporting across structured and unstructured sources. Write and optimize complex queries for analytics, reporting, and business intelligence use cases. Follow and promote best practices around performance tuning, secure coding, scalability, and testability in distributed systems. Contribute to DevOps efforts , including CI/CD pipelines, infrastructure as code, automated testing, and monitoring (experience here is a strong plus). Preferred Qualifications: Bachelor&aposs or Master&aposs degree in Computer Science, ECE, Mathematics, Physics, Engineering or related technical discipline. 3+ years of experience building production-grade backend systems with Node.js and JavaScript/TypeScript. Strong proficiency in SQL and/or NoSQL databases. Experience with data engineering tools and frameworks. Solid understanding of signal processing fundamentals , with hands-on experience applying these to real-world data a plus. Familiarity with DevOps practices and tools (e.g., Docker, GitHub Actions, Terraform, Prometheus, etc.). Strong analytical mindset with a scientific and systematic approach to problem-solving. Show more Show less