Top Software Engineer Jobs in Dublin

The software engineer will develop and operate backend services for Snap Store and Charmhub.io, focusing on clean APIs and feature implementation.

The role involves developing software for Linux-based systems on autonomous devices, optimizing performance and ensuring reliability in various hardware environments.

Join Canonical's OpenStack Engineering team to develop and manage Charmed OpenStack and Ceph, focusing on Python code and infrastructure automation.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

The role involves collaborating with a distributed team to develop and debug software for Linux, focusing on high-quality code and system-level issues.

As a Software Engineer at Canonical, you will collaborate globally to shape open-source software operations, focusing on Python and Golang development, enhance DevOps workflows, and improve infrastructure operations for cloud computing solutions.

As a Software Engineer, you will enhance Ubuntu's cloud infrastructure, automate image delivery, and collaborate with cloud giants, delivering high-quality software features.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Develop and maintain system-level Go code, model data, and design database schema for cloud infrastructures. Collaborate with a distributed team to ensure code quality.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

The Software Engineer will design, develop, and install software solutions, focusing on web applications using PHP and ensuring coding standards and technical design compliance.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

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, develop, test, and maintain C/C++ SDKs, middleware, and platform software for PlayStation experiences. Lead architecture and API design, own complex features, resolve performance and reliability issues, review code, mentor engineers, improve development and release practices, and collaborate with global cross-functional teams to deliver shared platform capabilities.

Build, maintain, and troubleshoot CI/CD pipelines and deployment processes for .NET applications. Collaborate with development, QA, and IT teams to deploy, monitor, and secure applications across environments, implement infrastructure-as-code, containerization, observability, and assist users/testers diagnosing environment issues.

Lead the architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and analytics pipelines (Databricks/Spark), drive technical vision, mentor engineers, collaborate across global teams, and ensure scalability, security, observability, and continuous delivery.

Lead architecture and technical strategy for a global virtual card platform. Design scalable, secure, highly available services, collaborate with product and engineering teams, mentor engineers, drive PoCs and pilots, enforce operability and security standards, and continuously improve delivery practices.

Lead architecture and technical strategy for a global virtual card platform. Design scalable, secure, highly available services; apply Domain Driven Design; mentor teams; drive PoC-to-production delivery; ensure cloud-native deployments, container orchestration, PKI/crypto standards, and engineering best practices.

Senior Software Engineer responsible for building scalable backend systems, designing and implementing test automation across API and UI layers, enhancing CI/CD pipelines, driving shift-left testing, ensuring performance, security, and reliability, participating in architecture discussions, troubleshooting distributed systems, and improving engineering quality and processes.

Lead architecture, design, and development of a cloud-native experimentation platform. Drive scalable microservices, APIs, and big-data pipelines (Databricks/Spark), ensure performance, security, reliability, mentor engineers, and coordinate cross-functional/global teams to deliver enterprise-grade analytics products.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native services and APIs, optimize model performance in production, mentor engineers, and enforce data governance and compliance.

Lead engineering and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable cloud solutions (AWS, Cloudera, Databricks), build APIs and microservices, implement MCP-style orchestration, monitor model performance, ensure security and compliance, and mentor engineering teams.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Build and maintain knowledge bases, architect scalable cloud solutions (AWS, Cloudera, Databricks), develop APIs/microservices, ensure security/compliance, monitor model performance, mentor engineers, and collaborate cross-functionally to translate business needs into production AI systems.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and scalable cloud-native systems (AWS, Cloudera, Databricks). Mentor engineers, ensure security/compliance, optimize model performance, and collaborate cross-functionally to productionize AI applications.