Top Python Jobs in Dublin

As a Quantitative Research Analyst, you will develop and test automated trading strategies using statistical techniques and algorithms, conduct research, and analyze data.

The Senior Solutions Architect will guide customers in designing scalable systems using MongoDB, collaborating with sales teams, and ensuring customer success while potentially traveling up to 25%.

Lead development and scaling of advanced analytics, reporting, and AI-driven solutions for risk adjustment. Analyze complex datasets, validate data pipelines, design integration and monitoring processes, ensure data quality and compliance, and influence stakeholders to operationalize analytic insights.

Lead design and deliver scalable full-stack AI-enabled backend services and APIs, architect microservice platforms (Node.js/TypeScript, Python, Java), integrate with EHRs using FHIR, build AI/LLM pipelines and vector DB integrations, enforce PHI/security/compliance, implement IaC and CI/CD, and mentor/lead engineering teams across product, data science, and platform stakeholders.

Design, build, and maintain scalable ETL/ELT data pipelines, integrate and transform diverse data sources, enforce governance and quality, monitor systems, and collaborate with analytics and business teams to support healthcare cost and outcomes analysis.

Design, build, test, deploy, and support full-stack cloud-native applications and backend services. Lead API/microservice development for AI/GenAI pipelines, integrate FHIR-based EHR systems, implement IaC and CI/CD, ensure security, observability, and PHI-compliant data handling, and collaborate with data science and product teams.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Architect scalable, secure cloud/data systems (AWS, Cloudera, Databricks), build knowledge bases and APIs, optimize models in production, mentor engineers, and ensure data governance, security, and compliance.

Design, build, and operate enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable, secure cloud-native systems (AWS, Cloudera, Databricks), develop APIs/microservices, monitor model performance, and collaborate across product and data teams while ensuring compliance, security, and operational excellence.

Validate and test BI reporting applications and data pipelines, partner with BI Engineers and business stakeholders, design and automate QA/data validation, load and transform data, troubleshoot data issues, and maintain data load processes and documentation to ensure accurate, reliable customer-facing reports.

Support clinical teams by designing, coding, testing, and maintaining analytics and Big Data solutions. Translate stakeholder requirements into analytical solutions, perform statistical and predictive analyses, create visualizations and dashboards, identify automation opportunities, and support data governance and documentation.

Lead the development and implementation of advanced reporting and analytics tools to support clinical teams while managing a team of analysts. Collaborate cross-functionally to ensure high-quality deliverables and foster a high-performance culture.

Lead engineering, design, automate, and maintain server-based platform lifecycle (builds, OS management, patching, configuration). Act as Tier III support, create automation and scripts, partner with security and program teams, produce architecture and operational documentation, and mentor a team in Agile environments.

Use advanced analytics and machine learning on complex healthcare datasets to identify patterns, design and build models, run experiments, and translate insights into data-driven solutions that improve patient outcomes and operational efficiency.

Design and implement scalable threat detection, investigation, and automated response capabilities for Datadog Cloud SIEM. Research attacker techniques, build high-fidelity detection content across cloud, identity, endpoints, and networks, and improve AI-assisted SOC workflows. Own detection lifecycle from research to deployment, collaborate with Product and Engineering, mentor engineers, and contribute to security research and open-source initiatives.

The Principal Data Analyst will oversee in-house paid media analytics and operations, ensuring data accuracy and driving business performance with comprehensive B2B marketing insights.

As a Software Engineer on the Infrastructure Security team, you will design, build, and maintain cloud-native security services, improve system efficiency, and collaborate with engineers to ship secure software.

Design and build security solutions for MongoDB Atlas multi-cloud infrastructure, ensuring high security standards while collaborating with engineering teams.

Lead complex cross-functional technical programs at MongoDB, influencing technical discussions, coordinating work streams, and mentoring junior TPMs.

The Technical Account Manager provides hands-on technical support and guidance to Datadog's customers, focusing on product adoption, IT Operations analysis, and maximizing customer satisfaction.

Lead modernization of fraud rule/engine platforms and large-scale migrations. Architect and build scalable, low-latency microservices, ensure security and compliance, mentor teams, collaborate cross-functionally, and apply DevOps and AI (GenAI/LLMs) where relevant.

Design, build, and maintain scalable big-data analytic solutions for clinical teams. Translate business requirements into technical specifications, apply predictive analytics and ML, create visualizations and dashboards, migrate legacy data, and recommend process improvements to support healthcare outcomes and operational efficiency.

The Senior Software Engineer in Infrastructure Security will design and build foundational security solutions, improve system scalability and performance, mentor team members, and participate in on-call duties to enhance Klaviyo's infrastructure security.

Design and implement AI solutions, optimize systems, collaborate cross-functionally, mentor engineers, ensure quality and performance in software development.

Design and implement features for Cloud Manager and Ops Manager products, troubleshoot customer deployments, and ship complex project elements. Collaborate with team to adapt MongoDB software for diverse infrastructures.

Design, build, test and maintain reporting, dashboards and data pipelines. Partner with stakeholders to gather requirements, analyze complex datasets, improve data quality and provide actionable insights and documentation.