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Taraki
Candidates need basic interest in AI tools and a willingness to learn prompt engineering. Understanding of design principles, branding and video basics, plus creative thinking and attention to detail, are also expected.
Midjourney, DALL·E
BioRender
Candidates need strong software engineering skills in Node.js and React, with Python a plus, and hands-on web application security and secure coding experience. They should have SAST/DAST and CI/CD integration experience, AWS and Terraform security skills, threat modeling, and working knowledge of cryptography, PKI and TLS.
AWS, Terraform, Cloudflare, HackerOne, SAST tools, DAST tools
General Magic
Candidates need a strong understanding of how LLMs work and experience building LLM-powered systems in production. They also need solid backend skills, prompt and tool-calling experience, and comfort using AI coding tools.
Claude Code, Codex
Mastercard
Mastercard needs candidates with strong Java and Spring experience, solid SQL and Oracle knowledge, and unit-testing skills with JUnit, Mockito or EasyMock. Candidates should have built high-performance applications and worked in Agile/Scrum teams.
Java, Spring, Oracle, JUnit, Mockito, EasyMock
Mastercard
Mastercard needs strong Java and Spring skills, unit and mocking test experience with JUnit or Mockito, and Oracle SQL knowledge. Candidates also need Agile delivery experience and strong problem-solving ability.
Java, Spring, Oracle, JUnit, Mockito, Selenium WebDriver
Mastercard
Candidates need strong Java and modern application development experience, plus experience building scalable distributed systems and automated testing. Preferred: payments, compliance or fraud background, cloud-native architecture, and a bachelor's degree in a technical field.
Regulatory compliance, Software development, Troubleshoot, Root cause analysis, Leadership, Troubleshooting
Mastercard
Mastercard needs candidates with proven experience leading software engineering teams and delivering large enterprise software. Candidates should have a strong technical background in distributed, highly available systems, plus strong communication and Agile experience.
Java, C++
Mastercard
Mastercard needs candidates with proven experience leading engineering teams and delivering large enterprise software, plus a strong background in distributed, highly available systems. Experience with Agile, stakeholder management and balancing hands-on technical work with people management is also required.
Java, C++
Mastercard
Candidates need several years of product management in payments, plus lean and agile delivery experience and an understanding of event messaging architectures. A bachelor's degree is required, and strong written and verbal communication with global teams is essential.
Kafka, NATS, Axon
Mastercard
Mastercard needs candidates with hands-on experience building agentic systems in production, plus Python, SQL and generative AI skills. Experience deploying models, working with cloud environments and collaborating across data science and engineering teams is also required.
Git, Jenkins, Maven, Artifactory, Databricks, Spark
Mastercard
Candidates need strong Java and object-oriented programming skills, plus experience with continuous integration and delivery. Exposure to Apache Kafka or Apache Flink, secure coding practices and test-driven development is expected.
Apache Kafka, Apache Flink, Java, Python
Mastercard
Candidates need a strong interest in technology, strong organization and communication skills, and analytical thinking. Relevant coursework, projects or an internship, plus exposure to Agile, Excel, PowerPoint, Confluence or Jira, are assets.
Excel, PowerPoint, Confluence, Jira
Mastercard
Candidates need an experienced product designer with a strong multi-device portfolio, a degree in interactive media design or equivalent experience, and proven work in a customer experience team. Hands-on skill with rapid prototyping, Lean UX, Design Thinking and tools like Figma or Adobe XD is required.
Figma, Sketch, Adobe XD, Adobe Illustrator
Mastercard
Candidates need several years of product management experience, including developing new products in large matrixed organizations. They should have commercial acumen, people management and remote team leadership skills, and strong executive communication.
Cybersecurity, Customer experience, Team leadership, Coaching, Product comprehension, Communication skills
Mastercard
Mastercard needs experience across the new product development process, strong stakeholder influence, analytical problem-solving and senior-level communication. Knowledge of identity, digital payments or security is an advantage, and a bachelor's degree or equivalent experience is expected.
Hazard assessment, Onboarding, Regulatory compliance, Product comprehension, Process improvement, Collaboration
Mastercard
Candidates need a Master's or Bachelor's degree in a quantitative field, proven experience leading data science projects, and substantial hands-on graph analytics skills. They also need advanced Python and SQL, experience with Spark, Hadoop and Databricks, and strong statistical and machine learning knowledge.
Python, SQL, Apache Spark, Hadoop, Databricks
Mastercard
Candidates need thought leadership, research or consulting experience and a strong understanding of AI, machine learning and generative AI. They must have a track record of producing high-quality writing and managing complex publications, and experience working with senior executives.
Leadership, Research, Presentation skills, Webinar, Market research, Artificial intelligence
Mastercard
Candidates need experience managing technical products such as APIs, data platforms or machine learning solutions. Strong communication, influencing skills and analytical problem-solving are needed. Knowledge of digital identity, payments, fraud or security is an advantage.
Product comprehension, Process improvement, Machine learning, Problem solving, Communication skills, Cybersecurity
Mastercard
Mastercard needs a candidate with proven product management experience in customer experience, merchant analytics, the advertising ecosystem, third-party data and AI, plus a record of leading large, diverse teams globally. Candidates also need exposure to marketing campaigns and CMOs, strong communication and influence skills, and an entrepreneurial, ownership-driven approach.
Customer experience, Communication skills, Cybersecurity, Confidentiality
Mastercard
Candidates need strong data engineering experience, proficiency in graph databases, Databricks, Spark and AWS, and proven ability to lead and develop a data engineering team. A technical degree or equivalent hands-on skills and clear communication with technical and business audiences are also required.
Databricks, Spark, AWS, Hive, Impala, Oozie
7 entreprises