Senior Backend Engineer

Key Responsibilities

• Design and implement scalable data integration pipelines using Azure Data Factory, Azure Databricks, and ADLS.
• Develop and deploy AI/ML models using Azure Machine Learning, Azure Cognitive Services, and other Azure AI services.
• Integrate Azure AI services with existing infrastructure, ensuring seamless data flow and processing.
• Collaborate with cross-functional teams to identify data integration and AI/ML requirements.
• Optimize data pipelines and AI/ML models for performance, reliability, and security.
• Troubleshoot issues to ensure high-quality data processing and AI/ML model performance.
  

Required Skills & Experience

• Backend Development: 7–10 years of experience with Java and Spring Boot, focused on building scalable microservices.
• API Integration: Strong understanding of REST APIs, API design principles, and integration patterns.
• Azure Data & AI Services: Hands-on experience with ADLS, Azure Data Factory, Azure Databricks, Azure Machine Learning, and Azure Cognitive Services.
• Data Integration: Experience with ETL/ELT processes and related tools/technologies.
• AI/ML: Working knowledge of machine learning concepts, including model development, deployment, and management.
• Cloud Infrastructure: Familiarity with Azure infrastructure (VMs, Storage, Networking).
• Database Systems: Proficient in PostgreSQL, MySQL, or MongoDB.
  

Must-Haves

• Strong expertise in Java with any Cloud platform (Azure preferred) and AI/ML.
• Availability to join within 30 days (immediate joiners or notice period candidates preferred).