Software Engineer II - Java Full Stack and AI

About The Job

The Mastercard D&S Technology development team builds innovative business analytic and reporting solutions, seeking a Software Engineer II to design and produce high-quality code.

Key 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 latest on the 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 customer focussed approach.
• Provide support during System and User Acceptance Testing.
• Adhere to Agile processes and participate actively in agile ceremonies.

Requirements

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 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 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 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 and experience working in Agile methodologies.
• Experience working in global, cross-functional teams, with strong technical problem-solving skills.

Preferred Qualifications

• AI model development skills preferred

Skills

JavaSpring FrameworkPythonReactAngularSQLDockerKubernetesAWSAI/ML