Senior application developer

Mission: 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. Key Responsibilities: 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. Technical Environment: Backend – Java | .NET 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 Frontend: Angular, React and StencilJS TypeScript, JavaScript, HTML5 and CSS3 Frontend unit testing with tools such as Jest, Jasmine or Testing Library Database, Development Tools: 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 AI Foundations: 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, Containers and Observability: Cloud fundamentals on AWS Docker and foundational Kubernetes concepts Qualifications: 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. Soft Skills: Analytical, pragmatic and solution-oriented mindset. Autonomy, rigor and accountability. Strong collaboration, communication and stakeholder skills. Curiosity, adaptability and commitment to continuous learning.