What you'll do:

• Design & develop web and enterprise solutions to be flexible, scalable & extensible.
• Improve complex data flow, data structures and db design to move to next platform.
• Enforce good agile practices like test driven development, Continuous Integration.
• Hands-on development will be an integral part of the responsibilities.
• Develop areas of continuous and automated deployment.
• Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster.
• Follow best practices like estimation, planning, reporting and improvement brought to processes in every day work.
• Analyses and reviews system requirements. Uses requirement and other design documents to gain overall understanding of the functionality of the new or enhanced application.
• Participate actively in the design, architecture and build phases, to aim at producing high quality deliverables.
• Provide recommendations on product and development environment improvements.

What makes you a great fit:

• Minimum 10 Years of experience
• Bachelor Engineering, or equivalent.
• Hands-on in Java 8 plus versions, Adv Java, Spring Boot, MVC etc.
• Strong knowledge and hands-on on micro-services based architecture.
• Very Strong knowledge of databases and hands on MS SQL/MySQL/PostgreSQL
• Experience with building REST based APIs.
• Well verse with DevOps practices
• Working knowledge of docker, containerization
• Experience in analysis, design, coding and implementation of large-scale, n-tier Java based platforms.
• Knowledge of any JavaScript framework like Vue, Angular JS (version >2)/ NodeJS etc.
• Be aware of activity in the open source world. Contributing back to open source is a big plus.
• Distributed computing, with experience in cloud computing (Amazon Web Services platform and associated technologies)
• Experience with modern development practices in areas of Product design, Requirement Analysis, Test Driven Development, Automation & Unit Testing, in a product development environment.
• Excellent listening, written and verbal communication skills.
• Machine Learning knowledge.
• No SQL knowledge
• Exposure to Capital Market domain preferred (Indexes, Equity etc.)