Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ 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
- Cloud – Strong Hands-on Cloud Native Architecture - Azure / AWS, Containerization / Kubernetes
- 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.)
Preferred qualifications, capabilities, and skills
- Understanding or experience with Language Models (LLM).
- Experience with Machine Learning or AI technologies.
- Exposure to cloud technologies
- Exposure to Python programming language