Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Proven experience of using JAVA, Springboot(Spring Boot , Spring Cloud, Spring Security, Spring JPA , Hibernate), JavaScript(Node or React) & SQL and proven experience to code in Javascript (Node) is mandatory
Hands-on experience with Docker, Kubernetes or related container platform.
Experience with Cloud native software deployment ideally AWS
Experience in Micro Services Architectures and any cloud payload development and deployment (containers or native)
Very Good understanding of Domain model micro services, Spring Boot, API gateway & REST
Experience in development tools such as IntelliJ IDEA, Maven, BitBucket/Git.Testing frameworks like JUnit and Mockito.
Strong understanding of OOP & SOA principles, design patterns, industry best practices
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code in a large corporate environment with one or moremodern programming languages and database querying languages
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud,artificial intelligence, machine learning, mobile, etc.)