Overview
Software Engineer II (Java full stack and AI, with Python) on the Mastercard D&S Technology development team, building business analytics and reporting solutions. The role supports the technical lead in designing and producing high-quality code.
What you'll do
- 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.
What you'll need
- 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.
Nice to have
- Knowledge of development of AI models and applications with Python.
Details
Read the full description and apply on the company’s own careers page.