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

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

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.

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.

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.

Support community-driven development by reviewing community PRs, improving contribution processes, debugging issues, and enhancing documentation. Collaborate with contributors and maintainers for reliable product improvements.

Develop and enhance functionalities for a climate tech platform, engaging with product teams and improving team culture.

Senior Software Engineer responsible for building scalable backend systems in Java/Spring Boot, designing and implementing API and UI test automation, embedding quality/security into the SDLC, enhancing CI/CD, driving performance and reliability efforts, collaborating on architecture, and troubleshooting distributed systems.

Lead architecture, design, and build of a cloud-native experimentation platform. Develop scalable microservices, APIs, and data pipelines using Databricks/Spark on AWS/Azure. Drive technical vision, modernize systems, ensure performance, security, observability and CI/CD, collaborate across global teams, and mentor engineers.

Lead technical delivery and system design for backend services in a mixed monolith/microservices landscape. Own features end-to-end, drive reliability, observability, and modernization, mentor teams, resolve incidents, and set engineering standards across integrations, APIs, and platform resilience.

Design and deliver production-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and microservices on cloud platforms (AWS, Cloudera, Databricks). Use frameworks like LangChain and MCP, ensure security/compliance, monitor model performance, and mentor junior engineers while collaborating across product, engineering, and data teams.

Design, develop, and deploy enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native systems (AWS, Cloudera, Databricks), APIs, and microservices; implement LangChain and MCP patterns; monitor and optimize production model performance; ensure data governance and compliance; mentor engineers and drive engineering best practices.

Lead technical delivery and system design for backend services in a mixed monolith/microservices environment. Guide features end-to-end, improve resilience, reliability, observability, and CI/CD, resolve complex incidents, set engineering standards, and collaborate cross-team to modernize platforms supporting virtual card and payment capabilities.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect secure, scalable cloud/data systems (AWS, Cloudera, Databricks), build APIs and microservices, implement LangChain-based apps, optimize production model performance, and mentor engineers while ensuring data governance and regulatory compliance.

Lead modernization of fraud rules/engines and large-scale migrations. Provide technical leadership across cross-functional teams, design compliant scalable low-latency microservice platforms, mentor engineers, and apply Gen AI/LLM familiarity to fraud solutions.

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.

Design, build, and maintain full-stack web applications and scalable data pipelines. Implement intuitive UIs, backend data models, RESTful APIs, and distributed systems. Write and review well-tested code, mentor junior engineers, improve team processes, and collaborate with product and design to deliver analytics-driven products.

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 a cross-functional engineering team to design, build, and deliver full-stack web applications and data pipelines. Provide technical direction, mentor engineers, drive product roadmaps, implement scalable solutions, and collaborate across teams to solve complex problems while contributing as a hands-on developer.

Design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, scalable cloud-native services (AWS/Cloudera/Databricks), APIs/microservices, and production-grade model integrations. Monitor model performance, ensure security and compliance, mentor engineers, and collaborate cross-functionally to translate business needs into AI-enabled products.