Top Python Jobs in Dublin

The role involves enhancing Ubuntu Linux kernel support for various SoC platforms, collaborating with silicon vendors, resolving kernel issues, and implementing performance optimizations.

Lead the automation of the Ubuntu Linux kernel build process, ensuring a simplification for client distribution. Engage with other engineering teams and innovate solutions for kernel build challenges.

Manage and lead a growing engineering team for the BootStack service, ensuring operational excellence and quality service delivery to customers while fostering collaboration and product improvement.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

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

You will lead engineering teams, develop managers, hire staff, drive quality, and ensure disciplined processes while representing products to stakeholders.

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

The Observability Engineering Manager will lead a distributed engineering team, focusing on developing observability tools while ensuring team effectiveness and promoting software delivery excellence.

The Performance Engineer drives software performance and correctness through collaboration, teaching, and advancing measurement tools in Canonical's engineering teams.

Lead the architecture and delivery of enhancements to the Ubuntu Linux kernel, collaborate with other teams, and mentor engineers.

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud solutions.

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.

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

The Site Reliability Engineer will ensure reliable cloud operations by applying Python for infrastructure automation, managing OpenStack and Kubernetes, and practicing devsecops in a fast-paced environment.

Lead and manage a team of engineers focusing on optimizing Ubuntu for public cloud performance. Ensure quality delivery and foster growth among team members.

Manage engineering teams and operations for the BootStack service, ensuring quality and timely delivery of managed services while collaborating with stakeholders and optimizing team performance.

The Senior Site Reliability Engineer will automate operations using Python, manage Kubernetes and OpenStack clusters, and ensure high availability for enterprise infrastructures.

As a Senior Software Engineer, you will develop and manage a MongoDB solution on various platforms, ensuring reliability and security while contributing to a small team focused on impactful projects.

As a Senior+ Engineer, you will lead the design and architecture of impactful open-source projects while mentoring teams, coding, and engaging with the community.

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.

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 an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.