Mastercard

1 month ago

Lead Software Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 minutes agoStatus: Live

Job Summary

Lead a team focused on building AI-powered, enterprise-grade solutions. Design and deliver LLM-based systems, data-driven tools, and secure APIs across cloud and data platforms (AWS, Cloudera, Databricks). Mentor engineers, drive best practices, and ensure governance, security, and reliability while delivering scalable AI capabilities for Mastercard programs.

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Design, develop, and deliver AI-powered solutions leveraging modern architectures, including LLM-based systems and retrieval-augmented generation (RAG).
•Build and maintain enterprise knowledge bases with vector search capabilities, enabling semantic search and intelligent information retrieval.
•Develop LLM-driven applications using frameworks such as LangChain, including prompt engineering, chaining, and orchestration patterns.
•Implement and integrate solutions leveraging Model Context Protocols (MCP) or equivalent model interaction frameworks.
•Architect scalable and secure solutions across cloud and data ecosystems, including AWS, Cloudera, and Databricks.

Key Requirements

• Proven experience (10 to 15 years) in software engineering with a strong focus on AI/ML and distributed systems.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
• Strong proficiency in Python, with experience building scalable backend systems.
• Experience with Angular or similar frontend frameworks for building user-facing AI applications.
• Hands-on experience with LLM frameworks (e.g., LangChain) and building RAG-based systems.

Experience:10-15 yearsAIDistributed systemsEnterprise software

Education:Bachelor's

Skills:PythonAngularLangChainLLMsRAGVector searchEmbedding modelsAPIsMicroservicesCloudAWSDatabricksClouderaDockerKubernetesSecurityGovernance

Languages:English

Tech Stack:PythonAngularLangChainLLMRAGVector searchEmbedding modelsAWSDatabricksClouderaDockerKubernetesAPIsMicroservices

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

Lead Software Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 minutes agoStatus: Live

Job Summary

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Design, develop, and deliver AI-powered solutions leveraging modern architectures, including LLM-based systems and retrieval-augmented generation (RAG).
•Build and maintain enterprise knowledge bases with vector search capabilities, enabling semantic search and intelligent information retrieval.
•Develop LLM-driven applications using frameworks such as LangChain, including prompt engineering, chaining, and orchestration patterns.
•Implement and integrate solutions leveraging Model Context Protocols (MCP) or equivalent model interaction frameworks.
•Architect scalable and secure solutions across cloud and data ecosystems, including AWS, Cloudera, and Databricks.

Key Requirements

• Proven experience (10 to 15 years) in software engineering with a strong focus on AI/ML and distributed systems.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
• Strong proficiency in Python, with experience building scalable backend systems.
• Experience with Angular or similar frontend frameworks for building user-facing AI applications.
• Hands-on experience with LLM frameworks (e.g., LangChain) and building RAG-based systems.

Experience:10-15 yearsAIDistributed systemsEnterprise software

Education:Bachelor's

Skills:PythonAngularLangChainLLMsRAGVector searchEmbedding modelsAPIsMicroservicesCloudAWSDatabricksClouderaDockerKubernetesSecurityGovernance

Languages:English

Tech Stack:PythonAngularLangChainLLMRAGVector searchEmbedding modelsAWSDatabricksClouderaDockerKubernetesAPIsMicroservices

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