Top Software Engineer Jobs in Dublin

Senior Software Engineer responsible for delivering scalable software features and AI/ML-enabled solutions across the full software development lifecycle. Duties include coding, debugging, testing, CI/CD, system design, performance monitoring, stakeholder collaboration, and ongoing support. The role also involves mentoring peers, promoting engineering best practices, and contributing to reliable, secure, maintainable talent acquisition technology platforms.

Leads the design and delivery of scalable platform capabilities across multiple engineering teams. Architects cloud-native, distributed systems and AI/ML integrations while ensuring availability, fault tolerance, and real-time processing. Oversees the software development lifecycle, including CI/CD, testing, monitoring, and incident response. Provides technical leadership, mentorship, and architectural guidance while partnering with stakeholders to translate business needs into technical requirements and driving continuous improvement.

Build scalable AI-powered software solutions using ServiceNow AI capabilities, prompt engineering, and intelligent architectures. Translate business needs into user-friendly features across design, implementation, testing, and delivery. Develop JavaScript UI components, integrate automated testing into CI/CD, optimize performance, improve reliability and observability, and contribute to AI-enabled product enhancements. Collaborate across teams, participate in code reviews, and mentor colleagues on software craftsmanship and responsible AI integration.

Six-month software engineering internship developing and deploying enhancements for TD Securities’ valuation services and risk platforms. Responsibilities include Python data processing and API development, testing, troubleshooting, requirements gathering, deployment documentation, security coding, and application support. The intern will use technologies including FastAPI, Flask, Pytest, Plotly Dash, SQL Server, Azure, Jenkins, and Git while collaborating in an agile, cross-functional team.

Build and maintain AI platform infrastructure, including LLM proxies, AI key management, observability pipelines, autonomous agents, MCP services, and an internal plugin marketplace. Develop reliable backend systems and developer tooling, collaborate across engineering and product teams, and promote agentic development practices. The role requires experience with scalable services, LLM-powered agents, distributed systems, cloud infrastructure, prompt engineering, and AI coding assistants.

Develop networking software for Arista’s switches and routers, including Linux kernel and user-space code, routing protocols, hardware and ASIC interfaces, forwarding-state management, configuration services, and automated testing. Work across C/C++, Go, and Python in embedded Fedora Linux environments, implementing high-performance, fault-tolerant systems and protocols such as BGP, OSPF, and ISIS. Collaborate in a highly technical team focused on software-defined networking and data-center infrastructure.

Design, build, and maintain scalable backend services for eBay's Cloud Security Segmentation platform. Develop Kubernetes-based control plane services, troubleshoot distributed systems and cloud infrastructure, use CI/CD and automated testing, participate in code reviews and incident response, and leverage AI-assisted engineering tools to improve productivity and reliability.

Develop software for high-performance networking hardware and embedded Linux systems. Responsibilities include writing C/C++, Go, and Python code; implementing routing protocols and configuration services; programming ASICs, FPGAs, and hardware interfaces; reconciling kernel and switch forwarding states; and building automated testing systems for large-scale network devices.

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.

Designs and implements scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Develops and reviews well-tested code, collaborates with product and design teams, mentors junior engineers, and improves development processes. The role requires expertise in Java, Spring Boot, React, TypeScript, distributed systems, cloud-native development, automated testing, and data-driven solutions.

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.

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.

Design, build, test, and maintain scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Collaborate with product managers and designers, mentor junior engineers, review code, improve development processes, and deliver customer-focused solutions in an agile environment. The role involves supporting credit risk, portfolio optimization, advertising insights, and other data-driven Mastercard products.

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.

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.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Partners with product managers and designers to deliver customer-focused features, reviews code, improves development processes, and mentors junior engineers. The role requires strong collaboration across teams and geographies while developing solutions for credit risk, portfolio optimization, and advertising analytics.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Partners with product managers and designers to deliver customer-focused features, improves development processes, reviews code, ensures quality, and mentors junior engineers. The role involves Java and Spring-based backend development, React and TypeScript front-end work, distributed systems, cloud-native development, automated testing, and collaboration across teams and geographies.

Designs and builds scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Develops and reviews high-quality tested code, collaborates with product and design teams, mentors junior engineers, and improves development processes. The role requires strong Java and Spring Boot expertise alongside React, TypeScript, SQL, distributed systems, cloud technologies, and automated testing experience.

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.

Designs, builds, tests, and maintains scalable full-stack analytics applications, data models, pipelines, APIs, and responsive user interfaces. Partners with product managers and designers to deliver customer-focused features, improves development processes, reviews code, mentors junior engineers, and collaborates across global teams.

Design, build, test, and maintain scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Collaborate with product managers, designers, customers, and global engineering teams to deliver complex features. Improve development processes, ensure code quality, mentor junior engineers, and develop innovative solutions for credit risk, portfolio optimization, and advertising analytics.

Design, build, and maintain scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Develop high-quality tested code, collaborate with product and design teams, mentor engineers, improve development processes, and deliver innovative solutions for financial analytics, credit risk, portfolio optimization, and marketing products.

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.

Designs and builds scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Responsibilities include writing and reviewing tested code, collaborating with product and design teams, mentoring engineers, improving development processes, and delivering solutions for credit risk, portfolio optimization, and advertising analytics.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, pipelines, APIs, and distributed systems. Partners with product managers and designers to deliver customer-focused features, improves engineering processes, reviews code, and mentors junior engineers. The role requires collaboration across teams and geographies while supporting analytics products for credit risk, portfolio optimization, and advertising insights.