Job responsibilities
- 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
- Formal training or certification on software engineering concepts and proficient applied experience.
- Hands on ability to code in JavaScript frameworks/libraries like React and Angular
- Hands on experience in Core Java, J2EE frameworks (Java/J2EE Version 8+)) ,Spring, Hibernate, JMS, Junit, Cloud Native Microservices
- Experience in Spring Core, Spring AOP, Spring Integration and Spring Data, Hibernate
- Experience in design and developing APIs with best standards.
- Hands-on practical experience in Software Development Life Cycle, system design, application development, testing, and operational stability
- Knowledge in HTML, CSS Frameworks, JavaScript, Type Script, jQuery, Bootstrap, Node JS, JSON
- Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Good knowledge in SQL/No-SQL databases like Oracle, Cassandra, S3
- Exposure to different market-leading technologies like Kubernetes, Kafka, Elastic Search, Graph DB, GraphQL
- Knowledge in Document Management tools like FileNet is a plus.