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.
About Candescent
Candescent is a U.S.-based financial technology company that powers Intelligent Banking for banks and credit unions. The company helps financial institutions move beyond traditional digital banking by unifying data, channels, and real-time intelligence into a single, cohesive platform that delivers adaptive, human‑centered experiences across every interaction.
Position Summary & Key Areas of Responsibility
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Develop high-quality, maintainable, and reusable software components that meet functional and non-functional requirements.
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Leverage AI-powered development tools such as Microsoft Copilot, GitHub Copilot, Cursor, or similar GenAI IDE assistants to accelerate coding, refactoring, and test generation.
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Diagnose, isolate, and resolve system failures caused by defects in software design or implementation.
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Apply AI-assisted code reviews, static analysis, and automated quality checks to improve code reliability and performance.
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Identify and implement improvements in engineering practices, including the adoption of AI‑driven developer workflows.
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Utilize software‑based system maintenance, observability, and tracking tools.
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Contribute to technical documentation, developer guides, and customer-facing materials, including AI‑generated or AI‑enhanced documentation where applicable.
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Design, write, and execute unit, integration, and automated tests, including AI-generated test scaffolding and coverage analysis.
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Analyze, design, and implement software mechanisms to improve code stability, performance, security, and reusability.
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Participate in and lead code reviews, mentoring peers on effective use of AI coding assistants without compromising engineering standards.
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Create high‑fidelity estimates for work items, considering dependencies and risks.
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Assist with team commitments within Sprint planning, backlog grooming, and delivery.
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May lead, mentor, and advise other engineering resources as part of project activities.
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Act as a subject matter expert in Microsoft‑based systems and modern software engineering practices.
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Stay current with AI, software engineering, and cloud-native trends, disseminating knowledge and defining best practices.
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Collaborate with Solution Management, Product, Security, and Platform teams across the organization.
BASIC QUALIFICATIONS:
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Bachelors Degree in Computer Science or related field
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A minimum of 6 to 9 years of experience in software design and development
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A minimum of 6 years of experience in preferred technology stack:
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Microsoft Full stack design & development
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Microsoft .NET 8.0 or above, C#, C++
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WPF, WinForms, Javascript, HTML, CSS, NodeJS, Typescript, Angular 15 and above
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Object Oriented programming
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Windows programming
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Experience developing Web based applications using HTML 5 & OAuth2
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API based design and development using REST & SOAP frameworks
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Experience in deployment and troubleshooting in K8 environment
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Good hands-on database on relational database like - SQL Server, Oracle
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Expertise in design patterns like – MVC, Microservice architecture
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Deep understanding of Software Development and Quality Assurance best practices
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Excellent written and verbal communication skills
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Excellent teamwork and collaboration skills
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Experience operating in an Agile environment, with a deep understanding of agile development principles.
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Familiarity with Continuous Improvement and Six Sigma Lean principles.
AI & Modern Engineering Skillsets
- Hands‑on experience using AI coding assistants such as:
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Microsoft Copilot / GitHub Copilot
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Cursor or equivalent AI‑first IDEs
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Experience applying Generative AI for:
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Code generation and refactoring
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Test generation and coverage improvement
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Documentation and API contract generation
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Strong understanding of responsible AI usage, including code correctness, security, data privacy, and licensing considerations.
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Ability to critically review and validate AI‑generated code outputs.
PREFERRED QUALIFICATIONS:
- Worked in any Software Development Life Cycle model and desirable working in Agile environment
- Knowledge of software development standards and protocols.
- Experience with tools utilized in development environment:
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Ant, SVN, MAVEN, JIRA, Confluence,GitLab
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Software application in container – Docker, Kubernetes
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CI, TDD using Nunit for Unit tests
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Knowledge about ATMs will be an added advantage
Statement to Third Party Agencies
To ALL recruitment agencies: Candescent only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, Candescent employees, or any Candescent facility. Candescent is not responsible for any fees or charges associated with unsolicited resumes.
