Top Python Jobs in Dublin

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

Migrate Microsoft Sentinel and related Azure resources to Infrastructure-as-Code (Terraform); build and maintain secure CI/CD pipelines in GitHub and Azure DevOps; apply software engineering practices, automate deployments, produce documentation and inventories, and communicate migration status to technical and non-technical stakeholders.

Research and engineer large multimodal and reinforcement-learning models for robotic agents: design, train, evaluate models; prototype in simulation and on hardware; build data pipelines, simulation environments, and distributed training infrastructure; collaborate to scale promising approaches into production and publish results.

Design and build research prototypes and production-capable systems to enable portable, interoperable agent and model workflows. Develop model routing, provider abstractions, memory and context representations, benchmarking suites, and evaluation protocols. Run ML experiments, implement robust APIs and integration layers, collaborate across research and engineering, and communicate results via reports, demos, publications, and open-source releases.

Own and stabilize IAM provisioning queue, build SCIM auto-provisioning and enrollment flows, automate access reviews and certification campaigns, reduce identity-related technical debt (JIT/PAM, least-privilege evidence), and integrate IAM tooling (Okta, Tines, cloud IAM) while partnering with GRC, Workplace Technology, and engineering.

Lead presales, RFP, requirements analysis, and solution design for supply chain transformation engagements. Act as a business-technology bridge to capture requirements, conduct fit-gap and process analysis, design scalable planning and execution solutions powered by data and AI, and support implementation, UAT, and client stakeholder management.

Lead architecture and delivery of Twilio's observability platform: design telemetry pipelines, unify logs/metrics/traces, build developer tooling, drive OpenTelemetry adoption, mentor engineers, and ensure scalable, cost-effective observability at platform scale.

Provide expert-level technical support for a cloud-native security platform across AWS/Azure/GCP/OCI, troubleshooting connectors, Kubernetes, runtime defenses, vulnerability findings, IaC/CI-CD integrations, and building AI-driven automation; participate in on-call rotations.

Manage Grafana's bare-metal to Kubernetes stack: provision physical resources, operate Kubernetes control planes, manage networking, scheduling and autoscaling, maintain Crossplane and Terraform modules, collaborate with application teams, participate in on-call, and improve platform reliability and performance.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Operate on L2/L3 customer escalations and eliminate recurring reliability issues by driving root-cause analysis, building diagnostics and tooling, owning test automation and CI stability, improving installation/upgrade robustness, establishing performance baselines, and writing production-quality code to close the reliability feedback loop.

Own end-to-end delivery of AI-powered automations: scope and shape client solutions, build demos and production systems (Python, FastAPI/Gradio, serverless), design prompts and data pipelines, validate outputs, and onboard clients while contributing patterns and R&D to the practice.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Design, deploy, and manage GCP infrastructure using Terraform and Ansible; build CI/CD pipelines (Jenkins, GitLab CI) and GitOps workflows; manage Docker/Kubernetes workloads; write automation scripts (Bash, Python, PowerShell); integrate observability platforms; collaborate with teams and support operational SLAs.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

As a Senior Backend Engineer, you'll develop features using Python and various AWS services, focusing on AI-driven solutions for the insurance sector.

Build, maintain, and operate Mimica’s multi-region Kubernetes platform (GKE/EKS), infrastructure-as-code, GitOps pipelines, and observability. Support engineering teams, triage incidents, migrate IaC to Crossplane, drive FinOps, and design BYOC/single-tenant access patterns while automating work with Python tooling.

The Solutions Engineer partners with Sales and Customer Engineering, guiding customers through database migrations and optimizing solutions. Responsibilities include technical discovery, designing migrations, assessing workloads, creating tools and documentation, and collaborating with teams for customer needs.

Lead the operating model for the product organization, measure performance, manage product tooling, ensure go-to-market readiness, identify systemic issues, and build knowledge infrastructure.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

As a Software Engineering Intern, you will build scalable solutions, write production-ready code, and work with interdisciplinary teams.

Own and build the data transformation layer using dbt and SQL on Trino/GCP. Design scalable data models, enforce modeling and testing standards, optimize query and ETL performance, integrate models with BI and reverse ETL, and collaborate with stakeholders to deliver reliable, auditable data products.