Experience: Minimum 6+ years
Required skills: Java or Phyton with GenAI / LLMs (RAG, Agentic systems), Microsoft Copilot
Nice to have skills: NodeJS, Document AI, Intelligent Document Processing (IDP), Optical Character Recognition (OCR), Natural Language Processing (NLP), and Virtual Assistants such as Kore.ai and similar platforms.
Job Summary:
Software Engineer (GenAI) will design and deliver robust enterprise applications using Java, Spring and Microservices within a hybrid work model. Strong in Java or Phyton with GenAI / LLMs (RAG, Agentic systems), Microsoft Copilot
Responsibilities:
- Design and implement scalable microservices using Java, Spring Boot and Spring MVC to support high volume cards and payments processing in a hybrid work environment.
- Develop secure and efficient APIs for authorizing clearing and settling card transactions while maintaining strict compliance with industry standards for data protection.
- Optimize application performance and scalability by profiling services tuning JVM parameters and refining database interactions for peak transaction windows in day shift operations.
- Collaborate with product owners architects and quality engineers to refine user stories and transform complex payments requirements into clear technical designs.
- Implement robust error handling logging and monitoring strategies that provide deep observability into microservices health transaction flows and exception patterns.
- Write clean modular and testable Java and JavaScript code with high unit and integration test coverage to ensure reliability of cards and payments features.
- Integrate applications with card networks payment gateways and internal risk systems while ensuring accurate message formats and stable connectivity.
- Conduct detailed code reviews and provide constructive feedback that improves code quality security posture and adherence to engineering standards across the team.
- Coordinate with DevOps teams to containerize services configure pipelines and support smooth deployments across multiple test and production environments.
- Analyze production incidents in cards and payments flows identify root causes and implement permanent fixes that enhance stability and customer trust.
- Document technical designs sequence diagrams and interface contracts so that other engineers and partner teams can understand and extend the platform with confidence.
- Mentor less experienced engineers through pairing design discussions and example implementations that demonstrate modern patterns for microservices and transaction processing.
- Engage with business and operations stakeholders to clarify acceptance criteria refine edge cases and ensure that delivered features reduce friction for payment users.
Qualifications:
- Demonstrate strong proficiency in Java and object oriented design principles applied to complex transaction processing systems in the cards and payments domain.
- Exhibit deep hands on experience building and maintaining microservices using Spring Boot and Spring MVC with a focus on reliability and observability.
- Apply solid skills in JavaScript for building or enhancing user facing components and internal tools that interact with payments services.
- Bring proven experience in cards and payments including authorization flows settlement cycles chargebacks and fraud controls in regulated environments.
- Utilize practical knowledge of relational databases messaging systems and caching strategies to support low latency and high throughput payment workloads.
- Show familiarity with testing frameworks continuous integration practices and code quality tools that ensure safe and repeatable releases.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
