Mastercard

1 month ago

Senior Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior AI-powered software engineer responsible for building and operating production-grade AI components and distributed Java services, shaping AI-driven features and scalable platforms across global customer-facing products.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Build and own Java services and APIs that deliver AI-powered features, ensuring performance, scalability, and maintainability in a distributed environment
•Develop and productionize AI components in Python, supporting model training, tuning, and inference workflows
•Implement and operate AI systems in production, including deployment frameworks, automated pipelines, and model lifecycle management (versioning, monitoring, and updates)
•Own delivery across the full lifecycle—design, development, testing, deployment, configuration, and documentation—with a strong focus on automation and operational excellence
•Design and develop secure, scalable, and reliable systems supporting global, customer-facing platforms

Pay and Benefits

Salary: USD 115,000 - 184,000 annually

Perks:Health Insurance401kPaid LeaveDentalVisionLife Insurance

Key Requirements

•Python – Proven experience building and operationalizing production-grade AI components (code, testing, packaging)
•AI Frameworks – Hands-on experience with modern AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face) for model development, tuning, or serving
•Strong Java engineering expertise, including designing, developing, testing, and maintaining scalable, high-performance systems
•Hands-on experience with the AI/ML lifecycle, including deployment, workflow automation, and performance monitoring
•Experience designing and building microservices, APIs, and distributed systems

Experience:PaymentsAnalyticsAIMLDistributed systems

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PythonJavaPyTorchTensorFlowHugging FaceAPIsMicroservicesDistributed systemsDockerCI/CDCloudModel lifecycleMonitoring

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 month ago

Senior Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Build and own Java services and APIs that deliver AI-powered features, ensuring performance, scalability, and maintainability in a distributed environment
•Develop and productionize AI components in Python, supporting model training, tuning, and inference workflows
•Implement and operate AI systems in production, including deployment frameworks, automated pipelines, and model lifecycle management (versioning, monitoring, and updates)
•Own delivery across the full lifecycle—design, development, testing, deployment, configuration, and documentation—with a strong focus on automation and operational excellence
•Design and develop secure, scalable, and reliable systems supporting global, customer-facing platforms

Pay and Benefits

Salary: USD 115,000 - 184,000 annually

Perks:Health Insurance401kPaid LeaveDentalVisionLife Insurance

Key Requirements

•Python – Proven experience building and operationalizing production-grade AI components (code, testing, packaging)
•AI Frameworks – Hands-on experience with modern AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face) for model development, tuning, or serving
•Strong Java engineering expertise, including designing, developing, testing, and maintaining scalable, high-performance systems
•Hands-on experience with the AI/ML lifecycle, including deployment, workflow automation, and performance monitoring
•Experience designing and building microservices, APIs, and distributed systems

Experience:PaymentsAnalyticsAIMLDistributed systems

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PythonJavaPyTorchTensorFlowHugging FaceAPIsMicroservicesDistributed systemsDockerCI/CDCloudModel lifecycleMonitoring

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor