Top Software Engineer Jobs in Dublin

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

The Senior iOS Engineer will lead engineering decisions, actively ship code for the iOS app, shape the product roadmap, and enhance app architecture.

The Software Engineer will manage data collection for model training, enhance the cloud infrastructure, and collaborate with the AI team to improve dataset quality and accessibility.

Lead hands-on design and delivery of secure, scalable agentic AI applications and cloud-native services. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve developer workflows with AI, mentor engineers, and collaborate with product, AI, security, and platform teams to move prototypes to governed production.

Lead design and deliver production-grade agentic AI applications and platform capabilities. Drive architecture, implementation, observability, security, CI/CD, and cross-functional delivery while mentoring engineers and shaping roadmaps for scalable, reliable AI-powered services.

Lead hands-on design and delivery of secure, scalable agentic AI applications and platform capabilities. Drive architecture, implementation, SDLC, observability, security, and cross-functional collaboration to take AI solutions from prototype to governed production. Mentor engineers and shape roadmaps to enable reliable, maintainable, and high-impact product delivery.

Lead design and deliver production-grade agentic AI applications and cloud-native services. Define engineering patterns, ensure security, observability, and reliability, drive SDLC improvements, mentor engineers, collaborate with AI, product, and platform teams, and move prototypes to governed production.

Lead design and deliver production-ready agentic AI applications and platform capabilities. Define engineering patterns, drive end-to-end SDLC, mentor engineers, ensure security, observability, reliability, cost controls, and collaborate with Product, Applied AI, Data Science, and stakeholders to move AI solutions from prototype to governed production.

Lead hands-on design and delivery of production AI/agentic applications and cloud-native services. Define engineering patterns for reliability, security, observability, and governance. Drive end-to-end delivery, mentor engineers, collaborate with Applied AI, Product, Security, and Platform teams, and shape technical roadmaps to scale AI-enabled products.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns, ensure reliability, security, observability, and cost control. Drive SDLC, mentor engineers, collaborate with product and AI teams, and translate concepts into governed, scalable production deployments.

Lead design and delivery of secure, scalable agentic AI applications and cloud-native services. Drive architecture, implementation, observability, CI/CD, and governance; mentor engineers and collaborate with product, AI, security, and platform teams to move AI solutions from prototype to production.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns for reliability, observability, security, and cost control. Drive end-to-end SDLC, mentor engineers, collaborate with AI, product, and platform teams, and operationalize AI solutions from prototype to governed production.

Lead hands-on design and delivery of agentic AI applications and platform capabilities. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve AI-enabled developer workflows, ensure security, observability, resiliency and cost control, mentor engineers, and collaborate with product, data science, and security teams to move prototypes to governed production.

Lead hands-on design and delivery of production-ready, secure, scalable agentic AI applications. Define engineering patterns, drive SDLC from prototype to production, improve AI-enabled developer workflows, mentor engineers, and collaborate with product, data science, security, and platform teams to deliver measurable business value.

Lead technical design and delivery of Klaviyo's messaging pipeline, building scalable backend services (Python/Go), driving architecture, mentoring engineers, collaborating across product, compliance, and platform, and ensuring high-throughput, reliable message delivery at scale.

Design, build, and own highly scalable, highly available messaging infrastructure that processes hundreds of millions to billions of messages daily. Collaborate across teams on architecture, performance, monitoring, and reliability; mentor engineers; improve development and experimentation processes; participate in hiring and technical design.

Design, implement, and troubleshoot moderate-to-complex platform features using agile practices. Deliver secure, performant, well-tested code, collaborate across teams, support CI/CD pipelines, and develop web services (SOAP/REST). Contribute to code quality, testing, and continuous improvement; work hybrid from Dublin.

Build and scale backend job processing and code execution systems, improve throughput and multitenant fairness, write well-tested production code, own features to production, and collaborate across the stack to optimize reliability and performance.

Design and build backend systems for a Performance Medicine EMR. Implement and scale Ruby services handling sensitive athlete medical data, ensure reliability, and collaborate with product, design, and medical staff to deliver production features.

Build and maintain performant, well-tested frontend applications (Vue 3, TypeScript) to improve customer discovery, redemption, and post-purchase engagement. Collaborate with product, backend, and QA to deliver experiments and product increments, contribute ideas to improve usability and performance, and grow frontend expertise.

Own and evolve Userpilot's agent platform: build runtime orchestration, hybrid retrieval, tool grounding, durable AI workflows, eval/observability and cost accounting, and ensure production reliability, spec-driven development, and cross-team architectural standards for agentic features.

Full‑stack engineer building end-to-end features across a React/TypeScript dashboard, embeddable JavaScript SDK, and Elixir/Phoenix real‑time back end. Work includes LLM-driven product features, streaming responses, real‑time pipelines (Kafka, ClickHouse, RabbitMQ), agentic development infra, performance optimization, and spec-driven implementation and code review.

Design, optimize, and scale PostgreSQL architectures; improve query performance and indexing; build automation and backend tools for provisioning, monitoring, and deployment; enforce database security and disaster recovery; collaborate with product, SRE, and analytics teams; mentor engineers and set schema and tuning guidelines.

Design and develop core storage components in distributed systems. Optimize performance, manage production issues, and collaborate with cross-functional teams.

Design, build and ship native Android features (Kotlin) for an AI-enabled neobank app. Collaborate with product/design, integrate backend APIs, improve performance, stability and UX, debug production issues, use analytics to iterate, and add on-device AI where it improves user journeys.