Java Full Stack Developer

Work From Home @Hemangi Panchal in Development
  • India View on Map
  • Salary: ₹1,500,000.00 - ₹2,000,000.00 / Yearly
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  • Experience  2 - 4 years

Job Description

Key Responsibilities:
● Participate in the design and implementation of essential applications
● Demonstrate expertise and add valuable input throughout the development lifecycle
● Help design and implement scalable, lasting technology solutions
● Review current systems, suggesting updates as needed
● Gather requirements from internal and external stakeholders
● Test and debug new applications and updates
● Resolve reported issues and reply to queries in a timely manner
● Develop and utilize technical change documentation
● Strive to deploy all products and updates on time
● Help improve code quality by implementing recommended best practices
● Remain up to date on all current best practices, trends, and industry developments
● Maintain a high standard of work quality and encourage others to do the same
● Help junior team members grow and develop their skills
● Identify potential challenges and bottlenecks in order to address them proactively

Job Qualifications:
● Minimum 2 years’ experience in Back End Development, working with large, complex
projects
● Solid working knowledge of Java and J2EE technologies, Java certification preferred
● Hands-on experience on Spring framework, SpringBoot, Spring Security, Spring JPA
● Good troubleshooting and problem solving skills.
● Experience with Cloud (SaaS) and Micro service architectural pattern
● Proficient understanding of code versioning tools, such as Git
● Familiarity with build tools such as Ant, Maven, and Gradle
● Significant experience working with SQL and HTML
● Familiarity with concepts of MVC and RESTful
● Experience with database usage and management
● Experience with writing JUnit and Integration test cases
● Familiarity with JIRA and Agile is a plus

About Company: Fastest growing Private Company based at USA. The Company is working with Startups to Fortune 500, to collect, analyze, and generate insights from their customer interaction data such as conversational, transactional, and structured datasets.

Required skills

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