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
Work closely with the product team to understand the business requirements and user acceptance testing teams to support during UAT phase.
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Adds to team culture of diversity, equity, inclusion, and respect
Have a defined goal based approach and adhere to committed timelines.
Position requirements:
Formal training or certification on software engineering concepts and 5+ years applied experience
Extensive Design, coding, testing and debugging skills in Java and REACT JS Framework
Proficient in coding in Java 17, Spring Boot, and Databases
Advanced in two or more technologies – Functional Programming, Microservices, RESTful webservices development, JMS, Kafka, GraphQL
Solid understanding of agile methodologies, CI/CD, Non-Functional requirements like Resiliency, performance and Security.
Strong skills around object-oriented analysis and design (OOAD), data structures, algorithms, design patterns
Hands-on practical experience in system design, application development, testing, and operational stability
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
Excellent written and verbal communication skills
Excellent dealing with ambiguity skill
Preferred qualifications, capabilities, and skills
Understanding or experience with Language Models (LLM).
Experience with Machine Learning or AI technologies.