The primary purpose of this role is to assist with the translation of business requirements and functional specifications into code modules and software solutions. This includes assisting with the implementation and maintenance of business software solutions to ensure successful deployment of released applications. This role participates in all software development lifecycle phases and is critical to supporting software testing activities.
Roles & Responsibilities:
• Assists with translating business requirements and specifications into modules and Data or Platform solutions with guidance from senior colleagues; provides insight into recommendations for technical solutions that meet design and functional needs
• Supports the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by leveraging various software development methodologies and programming languages
• Assists in the implementation and maintenance of business data solutions to ensure successful deployment of released applications with guidance from senior colleagues as appropriate
• Supports systems integration testing (SIT) and user acceptance testing (UAT) with guidance from senior colleagues to ensure quality software deployment
• Supports in all software development end-to-end product lifecycle phases by applying an understanding of company methodologies, policies, standards, and controls.
• Understands Computer Science and/or Computer Engineering fundamentals. Learning software architecture; actively seeks knowledge and applies to data solutions or platform applications
• Drives the adoption of new technologies by researching innovative technical trends and developments
• Solves technical problems; solutions may need refinement and/or feedback from more senior level engineers
Years of Experience:
• 1-5+ years of experience in software development (frontend, backend and/or full-stack development including Java, Spring Boot, REST APIs, databases (SQL/NoSQL, Oracle PL/SQL), and modern web technologies (React, Node.js, GraphQL) or a related field, with hands-on experience across the Software Development Life Cycle (SDLC)
Required Minimum Qualifications:
• Bachelor’s/Master’s degree in computer science, CIS, or related field
Preferred Qualifications:
• 1 year of experience in software development or a related field
•1 year of experience developing and implementing business systems within an organization
•1 year of experience working with defect or incident tracking software
•1 year of experience writing technical documentation in a software development environment
•1 year of experience with Web Services
•Experience with application and integration middleware
•Experience with database technologies
•1 year of experience in Hadoop, NO-SQL, RDBMS, Teradata, MicroStrategy or any Cloud Bigdata components
Core Competencies:
Focus on Customers
Deliver Results
Take Action
Show Courage
Continue Learning
Functional Competencies
Collaborate
Exhibit Technology Acumen
Communicate Effectively
Demonstrate Learning Agility
Be Adaptable
Technical Competencies
Microservices
Application Development Tools
Quality Engineering
Technical Troubleshooting
Software Engineering
Primary Skills (must have)
•Understanding of data structures, data modeling, and software architecture
•Ability to write robust, maintainable code in Java and/or Python
•Collaborate with engineers and cross-functional teams to integrate components into broader system architectures
•Excellent problem-solving skills and ability to work in a team environment
•Stay current with technology trends and suggest improvements to existing systems and workflows
Secondary Skills (desired)
•Exposure or experience in building scalable analytical solutions integrating AI, ML, or Large Language Models (LLMs)
•Knowledge of AI and Large Language Models
•Collaborate with data scientists to integrate ML/AI models into production systems
•Run machine learning tests and experiments
•Experience with MLOps practices (model deployment, monitoring, pipelines)
•Extend or customize machine learning libraries and frameworks
•Proven experience as a Machine Learning Engineer or similar role
•Familiarity with ML frameworks and libraries (e.g., Keras, PyTorch, scikit-learn)