Senior Software Engineer

Our Purpose

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 support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title And Summary

Senior Software Engineer

## Overview

Dynamic Yield by Mastercard is seeking a **Senior Software Engineer** with a strong foundation in backend engineering and experience building scalable, high-performance systems.

This role focuses on designing and developing backend services that power our **AI-driven products**, with extensive work on **Large Language Models (LLMs), AI agents, and modern GenAI technologies**.

We foster a professional environment where experienced engineers collaborate to drive technical excellence and continuously improve our architecture and products. As a Senior Software Engineer, you will play a key role in building production-grade AI systems, solving complex engineering challenges around scalability, performance, reliability, and AI orchestration.

## Role & Responsibilities

• Design, develop, and optimize scalable backend services and APIs that power AI-driven products.
• Build production-grade applications and workflows using **LLMs, AI agents, and GenAI technologies**.
• Design and implement agentic workflows, including **tool calling, orchestration, context management, and integration with internal services**.
• Integrate and optimize LLM-based capabilities while balancing **quality, latency, reliability, and cost**.
• Design and maintain scalable, reliable, and high-performance distributed systems.
• Take ownership of technical solutions from design and implementation through deployment and production monitoring.
• Improve system architecture, observability, code quality, and development processes.
• Collaborate with Product, DevOps, and other engineering teams to deliver end-to-end solutions.
• Stay up to date with advancements in backend technologies and the rapidly evolving GenAI ecosystem.
  
  

• 5+ years of experience in software engineering, with a strong focus on backend development.
• Strong proficiency in **Python and/or Node.js**.
• Strong understanding of backend architecture, APIs, microservices, and distributed systems.
• Experience building scalable and reliable production systems.
• Hands-on experience with cloud platforms, preferably **AWS**.
• Experience with containerization and orchestration technologies such as **Docker and Kubernetes**.
• Experience working with databases and data stores such as **PostgreSQL, Redis, DynamoDB, or similar technologies**.
• Strong system design and problem-solving skills.
• Experience with **LLMs, Generative AI, AI agents, LangChain, LangGraph, or similar technologies** is a strong advantage.
• Experience with **Amazon Bedrock, OpenAI APIs, Langfuse, LLM evaluation, or agentic architectures** is a plus.
  
  

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.