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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 Backend Software Engineer (Python)
Overview:
Dynamic Yield by Mastercard is seeking a backend engineer with a strong foundation in building scalable, high-performance systems and a deep understanding of cloud infrastructure, distributed systems, and data pipelines. This role focuses on designing and optimizing backend services that support our machine learning (ML) operations and real-time personalization capabilities.
We foster a professional environment where experienced engineers collaborate to drive technical excellence, continuously improving our backend architecture and infrastructure. As a Backend Engineer, you will play a key role in building and maintaining the backend services that power our ML infrastructure, ensuring efficiency, scalability, and reliability.
Role & Responsibilities:
Design, develop, and optimize backend services that support ML pipelines, APIs, and real-time decision-making systems.
Architect and implement scalable and reliable data processing workflows, integrating ML models into production environments.
Build and maintain infrastructure for efficient model deployment, monitoring, and versioning.
Ensure high availability, performance, and security of backend services.
Lead initiatives to improve system architecture, reduce technical debt, and enhance development processes.
Collaborate with data scientists, ML engineers, and DevOps teams to streamline ML model integration.
Stay up to date with the latest advancements in backend technologies, cloud computing, and distributed systems.
Qualifications & Experience:
4+ years of experience in backend engineering, designing and developing distributed systems.
Strong proficiency in Python (preferred), Java, or Go for backend development.
Deep experience with cloud platforms (AWS, GCP, or Azure), including compute, storage, and networking services.
Experience with containerization and orchestration (Docker, Kubernetes).
Proficiency in designing and managing scalable databases (SQL & NoSQL: MySQL, PostgreSQL, Redis, Cassandra, etc.).
Hands-on experience with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and automated deployments.
Familiarity with high-performance APIs and microservices architecture.
Experience working with ML operations (MLOps) and data pipelines is a plus but not required.
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:
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Abide by Mastercard’s security policies and practices;
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Ensure the confidentiality and integrity of the information being accessed;
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Report any suspected information security violation or breach, and
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Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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Mastercardについて

Mastercard
PublicA financial network that processes payments between banks and cardholders
10,001+
従業員数
Purchase
本社所在地
$360B
企業価値
レビュー
3.6
10件のレビュー
ワークライフバランス
4.1
報酬
3.4
企業文化
3.8
キャリア
2.5
経営陣
2.8
65%
友人に勧める
良い点
Good work-life balance and flexible hours
Great team collaboration and colleagues
Good benefits and compensation
改善点
Limited career advancement opportunities
Poor management and lack of direction
Heavy workload and stressful environment
給与レンジ
51件のデータ
Junior/L3
Director
Junior/L3 · Data Engineer
5件のレポート
$137,800
年収総額
基本給
$106,000
ストック
-
ボーナス
-
$107,900
$166,918
面接体験
3件の面接
難易度
3.3
/ 5
期間
14-28週間
内定率
33%
体験
ポジティブ 33%
普通 34%
ネガティブ 33%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Super Day/Final Round
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
ニュース&話題
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