Top Python Jobs in Dublin

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 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.

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

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud 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 an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

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.

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.

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.

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.

The Senior Software Engineer builds and maintains backend services for digital messaging, focusing on features, reliability, and using AWS technologies.

Lead offensive security engagements across web/API, cloud (AWS), identity, and human attack vectors. Plan red team operations, run pentests and a bug bounty program, develop custom tooling, run purple team cycles with SOC, deliver risk-ranked reports, and track remediation to revalidation.

Operate and improve production platform reliability: participate in on-call and incident response, manage Kubernetes and cloud infrastructure, enhance observability, automate toil, maintain runbooks, and collaborate with engineering teams to reduce incidents and improve operational readiness.

Lead backend feature implementation for a healthcare AI SaaS: design and deliver scalable Python services, optimize data storage, manage cloud infrastructure and message queues, build and secure high-performance APIs, integrate third-party systems, and collaborate with frontend and AI teams to ship production-grade, tested systems.

Provide end-to-end technical support for Heidi's AI healthcare product: triage and resolve escalated customer issues via chat, email, and phone; debug complex problems; monitor system health; collaborate with engineering and product teams; and drive process and tooling improvements to prevent recurring incidents.

Embed with enterprise health customers to deploy and maintain Heidi: own end-to-end onboarding (EMR integrations, SSO/SCIM, data pipelines), build custom clinical workflows in code, debug production issues, automate deployments, train customers, and feed field insights to Product and Engineering.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.