Top Python Jobs in Dublin

The role involves leading production services, ensuring system stability, managing incidents, improving performance, and mentoring teams in a high-availability environment.

Own production network health and incident management globally: diagnose and resolve complex network outages, perform root cause analysis, hardware/software isolation, vendor collaboration, maintenance (code upgrades, refreshes, peering), third-line customer support, and drive improvements in alerting, change processes, automation, and stability.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own and improve large-scale, highly available database architectures across regions. Automate operations with Go/Python, handle performance tuning, capacity planning, backup/recovery, security audits, monitoring (SLO-based alerting), schema changes, data migrations, and collaborate with dev teams on optimization and troubleshooting.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Design, develop, and maintain an in-house Python automation framework and tooling to enable QA workflows. Build CI/CD integrations, containerized environments, refactor code for quality, troubleshoot issues, and collaborate with distributed QA and cross-functional teams to drive automation improvements.

Manage and improve cloud infrastructure and Kubernetes platforms (EKS) using GitOps. Own on-call rotations, incident response, SLIs/SLOs, observability stacks, alerting, and automation. Enable rapid multi-country deployments, collaborate with security audits, and mentor junior engineers.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Own and improve Primer's GTM intelligence: maintain dashboards and semantic models, train BI/LLM models (Omni/Claude), surface pipeline/account signals, ensure correct Salesforce modeling, build revenue-driving models and GTM AI workflows, partner with data engineering and RevOps, drive adoption, and promote self-serve data literacy.

Provide clinical and technical support for Vision RT SGRT products across UK/EIRE: pre-sales demos, customer training and commissioning, clinical testing, scripting and planning support, feedback to R&D, lead projects (DoseRT, MapRT), and contribute to clinical studies/publications. Significant regional travel required.

Owner of backend Wallet services: design, implement, deploy, and support scalable Python/Django systems for wallets, bets, settlements, deposits/withdrawals. Build high-load, reliable services with async components, testing, monitoring, and participate in estimations, code reviews, and on-call rotations.

Early-career engineer building and maintaining Python services that enable AI-powered document workflows. Tasks include prompting, document ingestion, PDF text/structure extraction, embeddings, and semantic search while writing tested, documented code and collaborating with senior engineers.

Senior hands-on backend engineer owning design through release. Architect APIs, services, and databases, write high-quality Python, work with large datasets, review AI coding agent output, monitor production, mentor juniors, and contribute to architecture and tooling.

Design, build, and deploy production-scale AI solutions (LLMs, RAG, agents, knowledge graphs) across Workday products. Integrate and optimize models, manage lifecycle, ensure performance, observability, security, and collaborate with product and ML teams to deliver user-focused AI features.

Provide escalated technical support for edge-to-cloud computer vision deployments: troubleshoot cameras, networking, edge devices, and integrations; analyze AWS CloudWatch logs; debug Python and JavaScript; collaborate with Engineering, Product, and Client Success; document solutions and improve support processes.

Build and own end-to-end features across backend and frontend: design backend services and data models (Python/Django), implement RESTful APIs, create reusable frontend components (TypeScript/React), write tests, participate in code reviews, maintain production reliability and security, and collaborate with product and design.

The Senior FinOps & Cloud Analyst will analyze cloud costs, develop pricing models, and ensure healthy margins through data-driven insights on infrastructure and customer usage.

The Cloud Infrastructure Cost Analyst will analyze cloud usage, build reports, develop cost models, and optimize cloud spending by collaborating with engineering and finance teams.

Own and ship full-stack product features end-to-end for an open-source LLM observability platform: design specs, implement frontend and backend work (TypeScript/React, ClickHouse, Python), talk to users, write docs, and improve developer experience while collaborating in a small engineering team.

Own and improve Langfuse SDKs (Python and TypeScript), ensuring reliability, performance, API design, integrations with AI frameworks, OpenTelemetry support, documentation, and developer experience.

Design, build, and run production agentic workflows and reusable components for delivery processes. Implement RAG-backed knowledge bases, monitoring, evals, observability, and human-in-the-loop feedback to improve agents and integrate them with delivery teams and business tools.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Architect and build core backend systems and APIs for a business-logic-heavy AI-native ERP. Deliver production-ready features end-to-end, including CI/CD, deployments, database schema and migrations, integrations with third-party systems, monitoring, and post-release care. Collaborate with product to translate complex finance workflows into secure, performant systems at scale.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Maintain and expand Ocient's hosted data warehouse services with a focus on high availability, performance, observability, automation, security, and incident management. Build monitoring, logging, alerting, CI/CD, and automate Linux server deployments while supporting backup, DR, and test infrastructure.