Mastercard

1 month ago

Software Engineer II - Backend/Platform Agentic AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 minutes agoStatus: Live

Job Summary

Build and operate AI-powered backend services within a multi-tenant, customer-facing platform. You will implement agentic workflows and LLM integrations on a Java/Spring Boot stack, ship production-grade AI features, and collaborate with senior engineers to ensure reliable, scalable AI in production.

Location: Virginia

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and operate services delivering AI-powered features to customers in a multi-tenant distributed environment, ensuring correctness, performance, and reliability.
•Implement agentic workflows and LLM integrations from design specifications, including tool calling, retrieval patterns, prompt management, and streaming responses.
•Own delivery end-to-end: design, development, testing, deployment, documentation, and production support.
•Contribute to CI/CD pipelines, automated testing, and release processes to ensure consistent, reliable delivery.
•Monitor, debug, and improve AI systems—resolving production issues, optimizing latency, and maintaining service health.

Pay and Benefits

Salary: USD 106,000 - 169,000 annually

Perks:Health Insurance401kPaid LeaveLife InsuranceDisabilityGym Membership

Key Requirements

•Strong Java engineering background, including building and maintaining Spring Boot microservices.
•Hands-on experience in applied AI/ML (LLM integration, RAG pipelines, agentic workflows, model serving, or inference services).
•Experience with REST APIs, microservices architecture, and distributed systems fundamentals.
•Experience with CI/CD practices, including branching, build automation, quality gates, and deployment pipelines.
•Working knowledge of production operations: logging, metrics, monitoring, and incident response.

Experience:PaymentsFintechAI

Skills:JavaSpring BootLLM APIsREST APIsMicroservicesDistributed systemsCI/CDAWSAzureKubernetesDockerDatabricksSnowflakeOpenAIAnthropicAzure OpenAIPython

Languages:English

Tech Stack:JavaSpring BootLLMREST APIsMicroservicesAWSAzureKubernetesDockerDatabricksSnowflake

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

Software Engineer II - Backend/Platform Agentic AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 minutes agoStatus: Live

Job Summary

Location: Virginia

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and operate services delivering AI-powered features to customers in a multi-tenant distributed environment, ensuring correctness, performance, and reliability.
•Implement agentic workflows and LLM integrations from design specifications, including tool calling, retrieval patterns, prompt management, and streaming responses.
•Own delivery end-to-end: design, development, testing, deployment, documentation, and production support.
•Contribute to CI/CD pipelines, automated testing, and release processes to ensure consistent, reliable delivery.
•Monitor, debug, and improve AI systems—resolving production issues, optimizing latency, and maintaining service health.

Pay and Benefits

Salary: USD 106,000 - 169,000 annually

Perks:Health Insurance401kPaid LeaveLife InsuranceDisabilityGym Membership

Key Requirements

•Strong Java engineering background, including building and maintaining Spring Boot microservices.
•Hands-on experience in applied AI/ML (LLM integration, RAG pipelines, agentic workflows, model serving, or inference services).
•Experience with REST APIs, microservices architecture, and distributed systems fundamentals.
•Experience with CI/CD practices, including branching, build automation, quality gates, and deployment pipelines.
•Working knowledge of production operations: logging, metrics, monitoring, and incident response.

Experience:PaymentsFintechAI

Skills:JavaSpring BootLLM APIsREST APIsMicroservicesDistributed systemsCI/CDAWSAzureKubernetesDockerDatabricksSnowflakeOpenAIAnthropicAzure OpenAIPython

Languages:English

Tech Stack:JavaSpring BootLLMREST APIsMicroservicesAWSAzureKubernetesDockerDatabricksSnowflake

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