Responsibilities –  

• Passionate developer who can write clean optimized code.
• Work with closely with team leads on assigned stories/defects.
• Provide quality code review comments
• Deliver quality product using Unit, Integration testing and performance testing.
• Manage individual project priorities, deadlines and deliverables
• Proactively assist your team to find and solve development and production software issues through effective collaboration 
• Work with company stakeholders including PM, PO, Customer Facing teams, DevOps, Support to communicate and collaborate on execution 

Desirable - 

• Experience with different kinds of databases (RDBMS, No SQL, In memory etc) is a plus 
• Messaging systems (e.g. RabbitMQ, Apache Kafka, Active MQ, AWS SQS, Azure Service Bus, Google Pub/Sub)
• Cloud solutions (AWS)
• React/Redux knowledge

Personal Skills - 

• Strong written and verbal communications skills to collaborate developers, testers, product owners, scrum masters, directors, and executives
• Experience taking part in the decision-making process in application code design, solution development, code review 
• Strong worth ethic and emotional intelligence including being on time for meetings 
• Ability to work in fast-changing environment and embrace change while still following a greater plan

Qualifications:

Requirements - 

• BS or MS degree in Computer Science or a related field, or equivalent job experience
• 3-5 years of web application development experience in a fast-paced agile environment experience required 
• Strong knowledge Java version 8/ Java version 11
• Strong knowledge in Microservice development using Spring framework
• Strong knowledge in Reactive programming using Spring Web Flex/Mono
• Strong knowledge in unit testing using Junit 5.0
• Experience in CI/CD pipeline
• Experience with relational databases, hands-on experience with SQL queries 
• Strong knowledge in REST APIs
• Experience with Atlassian suite products such as JIRA, Bitbucket, Confluence 
• Strong knowledge in Computer Science, Computing Theory:
• Paradigm & Principles (OOP, SOLID)
• Database theory (RDBMS)
• Code testing practices
• Algorithms
• Data structures
• Design Patterns
• Secure coding principles
• Understanding of network interactions:
• Protocols conventions (e.g. REST, RPC)
• Authentication and authorization flows, standards and practices (e.g. oAuth, JWT)