Top Software Engineer Jobs in Dublin

Design, develop, and maintain AWS-based contact center and serverless solutions using Python. Integrate Amazon Connect with Lambda, DynamoDB, S3; build APIs, CI/CD, and IaC; monitor performance and apply security and scalability best practices.

The Senior Software Engineer will lead application modernization efforts, leveraging tools and techniques including Generative AI to enhance software architectures and implement MongoDB solutions for clients.

Design, develop, and maintain a high-performance Linux OS optimized for Kubernetes. Contribute to kernel development and performance tuning, build automation and diagnostic tools in Go and Python, develop BPF/Cilium-based observability and network segmentation, manage cluster lifecycle (provisioning, upgrades, decommissioning), and collaborate across teams to integrate and operate scalable infrastructure.

Design, implement, and manage tools and systems for application lifecycle on eBay's private cloud. Build UIs/CLIs, integrate open-source tech (e.g., Kubernetes), engineer automation and diagnostics in Go/Java, deploy observability frameworks, improve CI/CD and security compliance, and collaborate across teams to drive platform adoption and reliability.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

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 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 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.

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. 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 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.

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 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.

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 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.

Lead a distributed agile team to design, develop, and maintain high-performance, high-volume Java applications for commercial virtual payments. Define features, contribute to system development, ensure SLAs, mentor engineers, improve processes, and deliver secure, cloud-native API/Batch/UI solutions.

Lead a distributed agile team to design, develop, and maintain high-performance, high-volume Java applications for commercial virtual payments. Define features with product and tech leads, deliver REST/SOAP APIs, ensure SLAs, mentor engineers, and drive process and standards improvements with cloud-native practices.

Lead backend engineer for Mastercard's commercial virtual payments platform. Own design, development, and maintenance of high-performance, high-volume Java services; define features with product and tech leads; implement REST/SOAP APIs; ensure SLAs, reliability, and cloud-native deployments; mentor team members and improve processes in an agile environment.

Lead engineer for Mastercards commercial virtual payments platform. Develop high-performance, high-volume Java applications (Spring/Hibernate), design and maintain REST/SOAP APIs, collaborate with product and cross-functional teams, ensure SLAs, promote cloud-native solutions (Cloud Foundry/AWS), mentor engineers, and drive process and quality improvements.

Lead development of high-performance, high-volume Java applications for commercial virtual payments. Collaborate with cross-functional teams to define features, maintain SLAs, implement REST/SOAP APIs, mentor engineers, improve processes, and deliver cloud-native solutions.

Lead engineering and contribute to design, development, and maintenance of high-performance, high-volume Java applications supporting virtual commercial payments. Collaborate with product and tech leads to define features, deliver secure cloud-native solutions, mentor team members, and ensure SLAs, quality, and continuous process improvements.

Lead a distributed agile team to design, develop, and maintain high-performance, high-volume Java applications for commercial virtual payments. Define features, contribute to system development, ensure SLAs, mentor engineers, improve processes, and deliver secure, scalable API/Batch/UI solutions.

Lead development of high-performance, high-volume Java applications for commercial virtual payments. Define features with product and tech leads, maintain SLAs, provide technical mentorship, improve processes, and contribute to cloud-native REST/SOAP API solutions.

Lead a cross-functional agile team to design, build and maintain high-performance, high-volume Java applications for commercial virtual payments. Define features, contribute to development, ensure SLAs, provide technical training, and improve processes while leveraging cloud-native and API technologies.