M
$106,000 – $169,000
Listed on Mastercard’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role focuses on building and operating AI-powered backend services within Mastercard's financial analytics platform, combining Java microservices development with production LLM integration and agentic AI workflows. It suits experienced backend engineers who have shipped AI features in production and want to deepen their expertise in AI systems while working on customer-facing, distributed infrastructure.
Our summary, not Mastercard’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Business Metrics
- CI/CD
- Cloud Platforms
- Databricks
- Docker
- Java
- Kubernetes
- LangChain
- LangGraph
- Microservices
- Microsoft Azure
- OpenAI
- Prompt Engineering
- Python
- REST APIs
- Snowflake
- Spring Boot
- Vector Databases
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What they ask for
Required
- Strong Java proficiency for backend and service development
- Experience integrating AI/ML capabilities in production
- Understanding of REST APIs, microservices architecture, and distributed systems
- CI/CD practices and automation
- Production operations knowledge: logging, metrics, monitoring, incident response
- Cloud platform experience (AWS or Azure)
Nice to have
- Python for AI/ML scripting and experimentation
- Agentic AI frameworks like LangGraph or LangChain
- Databricks or Snowflake experience
- RAG patterns and vector databases
- Prompt engineering with commercial LLM APIs
- Kubernetes or Docker experience
- Analytics platforms or BI tools
- Financial services or regulated environment experience