Backend Java Engineer (Java, Springboot & Kafka) Engagement (Support-heavy, 70% Support and 30% Development) Shift Timings: Morning Shift (9:00 AM to 6:00 PM) and Afternoon Shift (3:00 PM to 12:00 AM) Years of Experience - 4
Company Description FLYONIT is a global provider of managed IT, cybersecurity, cloud modernisation, digital transformation, and AI governance services, supporting organisations across Australia, the USA, India, and the UAE. Founded in Australia, the company focuses on
Responsibilities Own and evolve the enterprise data architecture supporting operational, analytical, and AI workloads Design scalable data platforms for transactional databases, analytical data warehouses/lakehouses, and AI/ML data pipelines Define data models, integration standards, metadata management, and data
At goML, we design and build cutting-edge Generative AI, AI/ML, Data Engineering, and Web3 solutions that help businesses unlock the full potential of emerging technologies, drive intelligent automation, and build secure, scalable digital experiences. Our mission
In this role, you will collaborate closely with one of our esteemed clients—a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT consulting partner,
We are hiring a Senior Backend & AI Engineer who pairs strong Python backend engineering with real, hands-on AI experience building LLM-powered products. This is not a traditional backend role with AI bolted on. We want
Position Description: We are looking for a strong Senior Java Backend Engineer to join our engineering team and help build scalable, reliable, high-quality backend systems for our platform. This role is for someone with deep expertise
About Cloudwick Cloudwick, an AWS certified data lake and advanced analytics partner, established in 2010 and headquartered in California, is at the forefront of data-driven transformation. We specialize in empowering organizations to harness their data’s potential
Job Description / Duties and Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines using Azure Data Factory and related Azure services. Develop complex and optimized T-SQL queries, stored procedures, views, functions, and database objects in SQL