Software Engineer II - Java Full stack and AI (with Python)

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper.

We are currently seeking a Software Engineer II - Java Full stack and AI (with Python) to join our team. As a Software Engineer II, you will be responsible for designing and developing high-quality, secure, and scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.

Responsibilities

• Design and develop high-quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.
• Work closely with Product Owners to develop beautiful, usable UIs and creative visualizations.
• Stay abreast of the latest technology trends and industry best practices to hone and maintain your talent.
• Participate in architectural discussions, iteration planning, and feature sizing meetings.
• Develop code of high quality with a customer-focused approach.
• Provide support during System and User Acceptance Testing.
• Adhere to Agile processes and participate actively in agile ceremonies.

Requirements

• Strong 3-6 years of experience in Full Stack Java application development and support, using modern and industry-standard development tools and practices.
• Hands-on experience with Java 8 or higher and Spring Framework (Spring 5 or above) for building scalable backend services.
• Proven experience in developing RESTful web services using Spring Boot / Spring REST APIs.
• Solid understanding of relational databases such as Oracle or SQL Server, with expertise in writing optimized and performant SQL queries.
• Experience with modern frontend frameworks such as React or Angular for building responsive user interfaces.
• Exposure to CI/CD pipelines using tools like Jenkins, Maven/Gradle, SonarQube, Chef, or equivalent automation tools.
• Experience with cloud platforms (AWS, Azure, or GCP) for application deployment, monitoring, and scaling, along with understanding of cloud-native and microservices architecture.
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
• Hands-on experience or exposure to Databricks and big data ecosystems, including working with Spark-based data processing, ETL pipelines, or Delta Lake.
• Exposure to AI/ML concepts and AI-powered development tools (e.g., Copilot, AI-assisted testing, or code generation) and ability to integrate AI/ML services/APIs into applications.
• Familiarity with application servers and development environments including Tomcat, Apache, STS, Eclipse, IntelliJ IDEA, and Visual Studio Code.
• Good understanding of Software Development Life Cycle (SDLC) and experience working in Agile (Scrum/Kanban) methodologies.
• Experience working in global, cross-functional teams, with strong technical problem-solving skills.
• AI model development skills preferred