Backend Engineer

Were hiring a Backend Engineer with strong software engineering fundamentals and hands-on experience in data-heavy systems, ML pipeline integration, and streaming data
Youll focus on backend developmentbuilding APIs, services, and infrastructure while also collaborating with data/ML teams to scale intelligent features into production This role is suitable for you if you have an entrepreneurial mindset, a hunger for learning, and enjoy your work You will be handling multiple responsibilities simultaneously, where you will be challenged every day Please do not apply if you are looking for a 9-5 kind of role Key responsibilities: ML Pipelines: Build and maintain ML pipelines From data ingestion and feature engineering to model serving and monitoring Backend Development: Design and build scalable RESTful/GraphQL APIs using Nodejs, Python, or similar Pipeline Integration: Work with ML engineers to integrate training/inference pipelines into backend systems Streaming & Real-Time Systems: Build and maintain data ingestion and processing systems using Kafka or similar tools DevOps & Infra: Collaborate on containerization, deployment (Docker), and CI/CD pipelines System Design: Contribute to architectural decisions, database modeling, and backend scaling strategies Must have skills: 35 years of backend development experience Proficient in Python with knowledge of JavaScript/Nodejs Hands-on experience with ML pipelines Exposure to MLOps tools: Docker, Kubernetes, model registries, deployment frameworks Familiarity with cloud infrastructure (AWS, GCP, or Azure) and serverless deployment practices Familiarity with streaming technologies (e-g, Kafka) Solid experience with SQL and NoSQL databases Prior experience integrating machine learning models into backend systems or APIs To apply, please head to our careers page