Lead Software Engineer (Backend & AI)

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

Lead Software Engineer (Backend & AI)

We are seeking an experienced Lead Software Engineer (Backend & AI) to drive the design, development, and scaling of advanced backend systems and AI-powered solutions.

In this role, you will combine deep backend engineering expertise with strong AI understanding, leading a team to deliver high-performance, data-driven products. You will play a key role in shaping system architecture, integrating AI capabilities, and ensuring production-grade reliability at scale.

Key Responsibilities

*Technical Leadership*

Lead the architecture and development of scalable backend systems and APIs

Design and implement AI-driven features, including AI model integration and inference pipelines

Define and enforce best practices for distributed systems, data processing, and system reliability

Own end-to-end system design, including performance, scalability, and security

*AI & Data Engineering*

Collaborate with data scientists/AI engineers to deploy, optimize, and monitor AI models in production

Build and maintain data pipelines and infrastructure supporting AI workloads

Ensure efficient model serving, versioning, and lifecycle management

Optimize performance of AI components (latency, cost, scalability)

*Team Leadership & Mentorship*

Lead, mentor, and grow a team of backend and/or full-stack engineers

Foster a strong engineering culture aligned with Israeli tech ecosystem standards (ownership, fast iteration, innovation)

Conduct code reviews and provide technical guidance

*Delivery & Execution*

Partner with Product, Data, and Business teams to define technical solutions

Drive end-to-end delivery of complex projects in a fast-paced environment

Break down ambiguous problems into actionable plans

Ensure timely and high-quality releases

Cross-Functional Collaboration

Work closely with AI teams, DevOps, Architects and Product

Translate business needs into robust technical solutions

Communicate complex technical topics to non-technical stakeholders

*Required Qualifications*

Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent

8+ years of backend software development experience

2+ years in a leadership or tech lead role

Strong programming skills in languages such as Python and Node.js

Proven experience building large-scale distributed systems

Hands-on experience deploying or integrating machine learning models in production environments

Experience working with cloud platforms (AWS, GCP, or Azure)

*Preferred Qualifications*

Experience in AI systems, including APIs for model inference (e.g., LLMs, recommendation systems, NLP, computer vision)

Familiarity with MLOps tools (e.g., Airflow, Vertex AI)

Experience working with real-time data processing systems (Kafka, Spark, Flink)

Background in high-growth startups or Israeli tech companies

Experience with microservices and Kubernetes-based architectures

*Tech Stack*

Backend: Python / Node.js

AI: Bedrock, OpenAI, LangChain, LangGraph, Langfuse etc.

Data: PostgreSQL, Redis, DynamoDB, Snowflake

Infrastructure: AWS / GCP, Docker, Kubernetes

Streaming: Kafka

CI/CD: GitHub Actions

*Key Skills & Competencies*

Strong system design and architecture skills

Ability to bridge backend engineering and AI domains

Excellent leadership and mentoring ability

Strong problem-solving and analytical thinking

Ability to thrive in a fast-paced environment

Effective communication in English (Hebrew is a plus)

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• 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.