Top Python Jobs in Dublin

As a Pre-Sales Solutions Engineer, you'll support sales by delivering technical insights, product demos, and fostering client confidence while collaborating with Account Executives across the EMEA region.

Design and build scalable, production-grade agentic AI applications and platform capabilities. Apply generative AI and agentic patterns to improve engineering productivity across the PDLC/SDLC. Collaborate with product, data science, and engineering teams to take AI-enabled solutions from prototype to production while ensuring reliability, security, and observability.

Design and build production-grade agentic AI applications and platform capabilities. Apply generative AI patterns and AI-assisted developer tooling to improve engineering productivity, productionize AI solutions, and drive platform innovation with a focus on reliability, security, and measurable business impact.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-enabled workflows, CI/CD, automated testing, and cloud-native services. Partner across product, data science, and engineering to move prototypes to reliable, secure, observable production systems.

Design and build scalable, production-grade AI and agentic applications and platforms. Apply agent orchestration, generative AI, and developer tooling to improve engineering productivity. Partner across product, data science, and engineering to deliver secure, reliable, observable, and maintainable solutions from prototype to production.

Design and build scalable, production-grade agentic AI applications and platform capabilities. Improve engineering productivity via AI-assisted workflows, CI/CD, automation, and cloud-native services while ensuring reliability, security, and measurable business impact.

Build scalable, production-grade AI and agentic applications and platform capabilities. Apply Generative AI and agent patterns to improve engineering productivity across the SDLC, productionize AI solutions with reliability, security, and observability, and partner with product, data science, and engineering teams to deliver measurable business value.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Apply AI patterns to improve engineering productivity across the product lifecycle, drive CI/CD and automation, partner with product and data science, evaluate emerging tools, and take AI-enabled solutions from prototype to secure, reliable production.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Apply generative AI and agentic patterns to improve engineering productivity across the SDLC. Partner with product, data science, and engineering to turn prototypes into secure, reliable, maintainable production solutions.

Design and build scalable, production-grade AI and agentic applications and platforms. Improve engineering productivity via AI-enabled workflows, CI/CD, automation, and developer tools. Partner with product and data science teams to take prototypes to production while ensuring reliability, security, observability, and maintainability.

Design, build, and productionize AI-enabled, agentic applications and platform capabilities. Improve engineering productivity via AI-driven workflows, CI/CD automation, and developer tooling. Collaborate with product, data science, and engineering teams to deliver secure, reliable, scalable solutions.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-assisted tooling and automation, drive AI-enabled solutions from prototype to production, and collaborate with product, data science, and engineering teams to deliver secure, reliable, and maintainable systems.

Perform hands-on analysis and reporting to support healthcare quality, provider engagement, and patient experience. Design and optimize SQL queries, validate and transform data, monitor data quality and controls, and partner with stakeholders and field teams to deliver actionable insights that guide performance improvement.

Perform routine SRE tasks to ensure reliability, scalability, and performance of Mastercard applications. Support deployments, monitoring, troubleshooting, automation, capacity planning, and incident response while learning SRE best practices and collaborating with senior engineers.

Join Mastercard as a Site Reliability Engineer I to ensure reliability, scalability, and performance of production systems. Support developers in operational design, automation, capacity planning, monitoring, incident triage, root-cause analysis, and post-mortems. Contribute to deployments, troubleshooting, and continuous improvement while learning from senior engineers and applying SRE and DevOps practices.

Senior Site Reliability Engineer ensures reliability, scalability, and performance of Mastercard applications. Responsibilities include production readiness, observability, automation, capacity planning, incident triage and root-cause analysis, collaboration with developers to build resilient systems, enforcing operational standards, and contributing to CI/CD, containerization, and cloud infrastructure improvements.

Lead reliability strategy and operations for Mastercard products: ensure availability, scalability, and performance; drive automation, observability, incident response, capacity planning, and compliance; mentor teams and influence cross-functional reliability roadmaps.

Senior Site Reliability Engineer ensures reliability, scalability, and performance of Mastercard applications. Responsibilities include automation, observability, cloud infrastructure management, incident triage and root cause analysis, capacity planning, CI/CD and DevOps practices, troubleshooting, and partnering with development teams to enforce operational standards and continuous improvement.

Lead Site Reliability Engineer responsible for ensuring reliability, scalability, and performance of production systems. Drive automation, observability, capacity planning, incident response, and SRE best practices. Mentor junior engineers, perform root cause analysis and post-mortems, enforce operational standards, and collaborate across development lifecycles to improve system resilience and compliance.

As a Lead Site Reliability Engineer, you will improve service lifecycles, ensure system reliability, and mentor junior team members. Responsible for incident response, system monitoring, and fostering collaboration between development and operations teams.

Support and maintain production systems to ensure reliability, scalability, and performance. Implement observability, automate operational tasks, assist deployments and monitoring, triage incidents, perform root cause analysis, participate in capacity planning, and apply ITSM and SRE best practices while learning from senior engineers.

Support production reliability and scalability for Mastercard applications by automating operations, implementing observability, troubleshooting incidents, participating in deployments, and applying SRE/DevOps practices while learning from senior engineers.

Join Mastercard Business Operations as an entry-level Site Reliability Engineer to ensure platform reliability, support deployments, implement observability, automate operational tasks, troubleshoot incidents, participate in capacity planning, and help enforce operational standards while learning from senior engineers.

Join Mastercard Business Operations as an entry-level Site Reliability Engineer to ensure platform reliability, support deployments, implement observability and automation, troubleshoot incidents, and collaborate with developers to build scalable, fault-tolerant systems while applying SRE and IT service management practices.

Join Mastercard as an entry-level Site Reliability Engineer supporting platform reliability, scalability, and performance. Assist in automation, observability, deployments, monitoring, troubleshooting, capacity planning, and incident response while learning SRE best practices and collaborating with developers to build resilient, production-ready systems.