Software Engineer II

Candescent is a forward-thinking technology company transforming how financial institutions deliver Intelligent Banking experiences. We unite digital banking, account opening, and branch solutions that power and connect digital banking, account opening, and branch solutions—creating seamless engagement across digital, remote, and in-person channels.

Our Experience-Led, Intelligence-Driven approach combines human-centered design with data, automation, and cloud-based innovation. Built on an API-first architecture, our extensible ecosystem enables institutions to adapt quickly, integrate easily, and unlock new opportunities for growth—turning every customer interaction into a moment of clarity, confidence, and connection.

BASIC QUALIFICATIONS:

• Bachelors Degree in Computer Science or related field
• A minimum of 2 to 4 years of experience in software design and development
• A minimum of 2 years of experience in preferred technology stack

• Java Full stack design & development

• Java microservices
• Spring Framework / Spring Boot
• NoSQL, JPA, Hibernate
• HTML5, JavaScript, CSS, Angular
• TDD/BDD
• RESTful services
• CI/CD tooling including Jenkins, Maven, Gradle and Docker

• API based design and development using REST & SOAP frameworks
• Experience in deployment and troubleshooting in K8 environment
• Deep understanding of Software Development and Quality Assurance best practices
• Excellent written and verbal communication skills
• Excellent teamwork and collaboration skills
• Experience operating in an Agile environment, with a deep understanding of agile development principles.

AI & Modern Engineering Skillsets Beneficial

• Hands‑on experience using AI coding assistants such as:
• Cursor or equivalent AI‑first IDEs

• Experience applying Generative AI for :
• Code generation and refactoring
• Test generation and coverage improvement
• Documentation and API contract generation
• Strong understanding of responsible AI usage , including code correctness, security, data privacy, and licensing considerations.
• Ability to critically review and validate AI‑generated code outputs .

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