Top Python Jobs in Dublin

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to prototype and scale production solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications and integrations, evaluate models, develop prototypes from concept to validation, and improve developer experience through automation and platform capabilities while partnering with product and business stakeholders.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, develop integrations and automation, improve developer experience, and partner with stakeholders to prototype and scale AI solutions.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design, implement, and evaluate AI-enabled apps and developer workflows; improve developer experience via automation and platform capabilities; partner with stakeholders to deliver prototypes to production and share best practices across Mastercard.

Develops and supports ITSM and vendor engineering products, including proof-of-concept applications, third-party integrations, and customized customer interfaces. Partners with solution architects and cross-functional teams, evaluates vendors, configures and upgrades BMC Remedy or ServiceNow applications, and follows software development and quality-control processes. The role requires programming, UNIX, API, cloud, and ITSM expertise while adhering to Mastercard security practices.

Develops and supports vendor engineering products within Mastercard’s Service Operation Tools Program. Responsibilities include building proof-of-concept applications, integrating third-party libraries, APIs, payment gateways, and ITSM platforms, configuring and customizing Remedy or ServiceNow environments, evaluating vendors, and collaborating with architects and cross-functional teams. The role requires software development expertise, UNIX and BMC iPaaS experience, and proficiency in languages such as Java, Python, SQL, Go, or Perl.

Develops and supports ITSM and vendor engineering solutions, including proof-of-concept applications, third-party integrations, and customer-facing interfaces. Partners with architects and cross-functional teams, evaluates vendors, configures and customizes BMC or ServiceNow applications, and follows software quality and development processes. The role requires programming experience, UNIX commands, BMC iPaaS knowledge, and familiarity with on-premises and SaaS environments.

Develops and supports vendor engineering products within Mastercard’s Service Operation Tools Program. Responsibilities include building proof-of-concept applications, integrating third-party libraries, APIs, payment gateways, and ITSM applications, configuring and customizing BMC Remedy or ServiceNow solutions, evaluating vendors, collaborating with architects and cross-functional teams, and following software development and quality processes.

Design and build Agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, develop frontend (React/Next.js) and backend (Java/Python) systems, improve developer experience via automation and CI/CD, and partner with stakeholders from prototype to validation while sharing best practices.

Develops and supports IT service management and vendor engineering applications. Responsibilities include creating proof-of-concept applications, integrating third-party libraries, APIs, payment gateways, and customer interfaces, configuring and customizing ITSM platforms, evaluating vendors, collaborating with architects and cross-functional teams, and following software development and quality practices.

Build and ship AI-enabled applications, tooling, and platform capabilities for agentic AI. Design reusable services, evaluate models and frameworks, improve developer workflows, and partner across product and engineering to prototype and scale AI solutions.

Design, build, and scale agentic and generative AI tooling, services, and developer-facing platforms. Implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with product and business stakeholders to prototype and productionize solutions.

Develops proof-of-concept applications and integrates ITSM platforms, third-party libraries, APIs, payment gateways, and customer interfaces. Partners with solution architects and cross-functional teams, evaluates vendors and products, configures and customizes BMC Remedy or ServiceNow across on-premises and SaaS environments, and follows software development and quality-control processes.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, orchestrations, and integrations; evaluate models and frameworks; develop prototypes to production; improve developer experience through automation and platform thinking; partner across product, engineering, and business stakeholders.

Develops and supports ITSM vendor engineering products, including proof-of-concept applications and integrations with third-party libraries, APIs, payment gateways, and customer interfaces. Partners with solution architects and cross-functional teams, evaluates vendors and products, configures and customizes BMC Remedy or ServiceNow environments, and follows software quality and development processes. The role requires programming knowledge, UNIX commands, BMC iPaaS experience, and strong technical collaboration skills.

Design and build Agentic AI tooling, services, and reusable patterns; implement AI-enabled applications and developer-facing capabilities; evaluate models and frameworks; improve developer experience via automation; partner across product and engineering to prototype and scale AI solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and deliver prototypes to production in collaboration with product and engineering stakeholders.

Build and ship Agentic AI tooling, services, and integrations that enable teams to prototype, validate, and scale AI-enabled products. Design orchestration, tool-calling, context management, and developer-facing workflows; evaluate models and frameworks for quality, cost, latency and reliability. Partner with product and engineering stakeholders to deliver reusable, production-grade patterns and improve developer experience through automation and platform thinking.

Develops and supports vendor engineering products and ITSM applications within a cloud-native, scaled Agile environment. Responsibilities include creating proof-of-concept applications, integrating third-party libraries, APIs, payment gateways, and customer interfaces, configuring and customizing ITSM tools, evaluating vendors, collaborating with architects and cross-functional teams, and following software development and quality-control processes.

Develops and supports IT service management software and vendor engineering products. Responsibilities include building proof-of-concept applications, integrating APIs, libraries, payment gateways, and ITSM platforms, configuring and customizing applications, evaluating vendors, collaborating with architects and cross-functional teams, and following software quality and development processes.

Leads the planning, architecture, development, and delivery of scalable software solutions using AI and emerging technologies. Designs secure and resilient systems, drives automation across the software lifecycle, supports continuous deployment, and collaborates with global engineering, data, product, operations, and customer teams. Acts as a technical subject matter expert for Emerging Data Signals, evaluates new technologies, and guides customer integrations and platform improvements.

Lead planning, architecture, development, and delivery of scalable software solutions using AI models and emerging technologies. Drive innovation from concept through production, champion automation across the software lifecycle, collaborate with global engineering, data, product, and operations teams, and provide technical leadership for customer integrations. Ensure systems are secure, resilient, maintainable, performant, and aligned with enterprise standards.

Leads the design, development, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives technical architecture, automation, secure integrations, continuous deployment, and production reliability. Collaborates with global engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for Emerging Data Signals and supporting innovation from concept through production.

Leads the planning, design, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives innovation from research through production, designs secure architectures, champions automation across the software lifecycle, and collaborates with global engineering, data, product, operations, and customer teams. Provides technical leadership for customer integrations while improving platform performance, reliability, security, and user experience.

Leads the design, development, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives innovation from concept through production, designs secure architectures, champions automation across the software lifecycle, and collaborates with global engineering, data, product, operations, and customer teams. Serves as a technical subject matter expert for Emerging Data Signals and supports integrations, platform performance, reliability, and solution adoption.