Tech Lead - Full Stack Job

Job Description :

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hireFull Stack Professionals in the following areas :

Experience required- 7+

Skill required : Full Stack Java Individual with Strong Java, AWS and UI Skills.

Job description :

• Experience with core Java, J2EE,Spring boot, React, microservices, collection Frameworks, core design patterns and rest API web services.
• Application security concepts, integrations and their error handling.
• Good knowledge of cloud based solutions, especially AWS.
• Exposure to Databricks / Python and Power BI will be a Great Fit.
• Provide analytical and technical support to development team.
• Research new technologies and features to effectively deliver system solutions to ensure a stable system for our customers and dealers
• Collaborate with the team and help develop new team members
• Analyze business requirements and ensure that the overall solutions can meet the needs
• Communicate and provide regular status updates.
• Experience documenting technical specifications
• Good communication skills.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

Skills Required

Java, Power Bi, Spring Boot, J2ee, Microservices, Rest Api, React, Databricks, Python, Aws