Senior application developer

Within the R&D organization, you will contribute to the design, development and testing of solutions that enhance and maintain ADP products. You will work in a Scrum team and collaborate with product owners, business analysts, architects, Tech Lead, quality engineers and developers to deliver secure, scalable and reliable solutions aligned with ADP engineering and quality standards.

• →Develop and maintain backend services, APIs and responsive frontend applications.
• →Translate functional and technical requirements into clean, testable and maintainable code.
• →Contribute to the design and development of AI-powered solutions.
• →Write unit and integration tests and actively participate in code reviews.
• →Apply secure coding, performance, observability and documentation standards.
• →Contribute to CI/CD pipelines, production support and continuous improvement.
• →Identify technical risks, drive performance and security improvements, and support production issue resolution.
• →Define scalable architecture, coding standards and engineering practices in collaboration with architects and the Tech Lead.
• →Contribute to the technical design and end-to-end implementation of complex features across backend and frontend components.

• Advanced proficiency in Core Java, design patterns and SOLID principles
• Spring Framework: Spring Boot, Spring MVC and Spring Security
• Hibernate and JPA
• RESTful APIs and microservices
• Memory management and performance optimization
• Message queuing systems such as Kafka or RabbitMQ
• Advanced proficiency in C# and modern .NET, with the ability to design scalable and maintainable services
• NET Core Web API and RESTful service development
• Entity Framework Core and LINQ
• Dependency injection, asynchronous programming and clean architecture principles
• Unit testing with xUnit, NUnit or MSTest and mocking frameworks such as Moq
• Secure API development, authentication and authorization using OAuth 2.0, OpenID Connect or JWT

• Angular, React and StencilJS
• TypeScript, JavaScript, HTML5 and CSS3
• Frontend unit testing with tools such as Jest, Jasmine or Testing Library

• SQL and NoSQL databases
• Git and collaborative branching workflows
• Maven or Gradle for Java and NuGet for .NET
• CI/CD pipelines
• Unit testing with JUnit and Mockito

• Understanding AI, generative AI and machine learning concepts, including LLMs and prompt engineering.
• Foundational knowledge of agentic AI patterns, tool-using agents and responsible AI principles.
• Ability to identify practical and secure AI-assisted development use cases

• Cloud fundamentals on AWS
• Docker and foundational Kubernetes concepts

• Degree in Computer Science, Software Engineering or an equivalent discipline.
• Fluent English, with the ability to communicate effectively in an international environment.
• Hands-on experience delivering full stack applications in a professional software engineering environment.
• Strong commitment to software quality, security, maintainability and customer value.
• Practical experience working with Agile Scrum teams.
• Ability to operate autonomously on complex scopes, align stakeholders and drive technical decisions.
• Demonstrated ability to lead technical initiatives and make sound architecture decisions.

• Analytical, pragmatic and solution-oriented mindset.
• Autonomy, rigor and accountability.
• Strong collaboration, communication and stakeholder skills.
• Curiosity, adaptability and commitment to continuous learning.