Software Engineer II - Java full stack and AI (with Python)
Mastercard · Posted Oct 13
Global technology company connecting consumers, financial institutions, merchants, and businesses through secure payment processing and digital commerce solutions
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About the role
The Mastercard Data & Services Technology development team works with new and innovative technologies to build business solutions that keep Mastercard a leader in delivering value-added business analytics and reporting solutions to a diverse global customer base, collaborating with product partners and other technical teams. The team continuously enhances existing products and drives new products to the global marketplace. This role supports the technical lead in designing and producing high-quality code, building full stack Java applications with React/Angular frontends, cloud-native microservices, and AI/ML capabilities using Python.
What you will 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 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.
Skills used in this role
What the employer is looking for
- 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.
- Knowledge of Development of AI models and application with Python is preferred.
- Experience working in global, cross-functional teams, with strong technical problem-solving skills..
Benefits and support
- Compensation and benefits are detailed in the job posting
About Mastercard
Mastercard is a global technology company in the payments industry that connects consumers, financial institutions, merchants, governments, and businesses worldwide. It operates a fast and secure payment processing network that spans more than 200 countries and territories. Through innovative products and solutions in credit, debit, digital assets, and security, Mastercard makes commerce safer, simpler, and more accessible.
- Industry
- Payments
- Company size
- 10001+ employees
- Founded
- 1966
- Location
- Purchase, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $115M raised
Leadership
Chief Executive Officer
Chief Business Officer
President & Chief Technology Officer
Chief People Officer
Recent coverage
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