Top Tech Jobs & Startup Jobs in Hyderabad, TG

Design, build, and maintain efficient code using C#. Help migrate legacy components to newer frameworks. Work closely with product specialists and developers to build key constructs that enhance and support the platform. Mentor other developers.

Lead C# Developer responsible for leading software-related projects, designing and developing software operating systems, and providing guidance to solve complex problems. Requires 5-8 years of experience with a Bachelor's degree. Must have proven knowledge of high-level programming languages and technologies, software design techniques, and Agile methodologies.

Reviews and analyzes software data, delivers solutions, designs and develops software operating systems, works on moderate scope problems, and integrates hardware/software frameworks. Requires a Bachelor's degree or 1-3 years of equivalent work experience. Company focuses on providing accurate and insightful information through data and technology solutions.

The Senior Frontend Engineer will be responsible for creating and maintaining a web application for data onboarding and customer access management, focusing on React, Redux, and MFE Architecture. They will work on high-impact projects, enhance front-end capabilities, and collaborate with cross-functional teams. The role requires 6+ years of experience in developing intuitive user interfaces using modern technologies.

Analyzing data workflows, managing processes, creating data documentation, collaborating with cross-functional teams, providing data expertise, and supporting maintenance of analytical models.

Act as a servant leader to an Agile team, educate Agile teams on Scaled Agile practices, coach teams in self-organization and continuous improvement, facilitate Scrum events, work with Product Owners to ensure clear communication, and collaborate with peers to increase Scaled Agile effectiveness.

Seeking a Senior MLOps Engineer to join a Data Science team responsible for deploying, monitoring, and managing machine learning models and data pipelines. The role involves collaborating with cross-functional teams, automating MLOps pipelines, and maintaining documentation.