Software backend engineer

Key Responsibilities Design, develop, and deploy scalable, secure, and robust back-end solutions on Azure, with an emphasis on back-end components. Ensure software engineering best practices across design, code, and testing across node.js APIs and maintain high quality documentation. Troubleshoot, debug, and upgrade existing back-end components and services as the platform grows. Experience working in an integrated DevOps and CI/CD environment and awareness of practices for streamlined deployment and platform reliability Work independently with minimal supervision, proactively identifying and addressing challenges and opportunities. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 5+ years of experience in back-end development, with hands-on expertise in both back-end technologies. Proficiency in Node.js, Azure App Services , API development Understanding of front-end application integration and deployment architecture Experience working with relational (PostgreSQL) and NoSQL databases (CosmosDB/Azure Data Lake), Azure Blob Storage . Experience building AI agents involving Python programming, LLM APIs Strong understanding of Agentic A I Hands-on experience with LangChain Familiarity with handling structured (e.g., databases, CSV), semi-structured (e.g., JSON, XML), and unstructured data (e.g., documents, images, text). Solid understanding of RESTful APIs, microservices architectures, and cloud-native design patterns. Experience with source control (e.g., Git ), CI/CD pipelines, and DevOps practices. Excellent problem-solving skills, attention to detail, and a proactive, self-starting attitude. Strong communication skills, with the ability to work effectively in cross-functional teams. Good to have / Preferred Qualifications Experience with Building and optimizing data pipelines for ingesting, mapping, and extracting data from a variety of sources and formats (structured, unstructured, and semi-structured). Strong experience with Microsoft Azure services and building data pipelines, including (but not limited to) Azure App Services, Azure Functions, Azure Storage, and Azure Data Factory. Demonstrated experience in building data ingestion, mapping, and extraction workflows for diverse data formats. Knowledge of data security, privacy, and compliance best practices on Azure. Exposure to business processing services or enterprise transformation projects. Experience with containerization (Docker, Kubernetes) and Infrastructure as Code (IaC).