Top Python Jobs in Dublin

Lead architectural work for AI-native backend engineering, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step LLM agents, and AI code-review optimization. Ship backend code and AI-first product features while setting technical direction and collaborating with product and design teams. Apply strong distributed-systems, event-driven architecture, and production LLM expertise to accelerate validated learning.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship production software, establish technical direction, and partner with product and design teams to accelerate validated learning. The role requires strong backend and distributed-systems expertise, hands-on LLM product experience, and practical use of AI coding tools.

Own the architectural layer for AI-native product engineering, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step LLM agent systems, and AI code review optimization. Ship backend code, set technical direction, and partner with product teams to deliver validated AI-first features. The role requires strong backend, distributed systems, event-driven architecture, LLM, and AI coding tool experience.

Serve as a customer-facing technical advisor for industrial analytics software. Design and implement scalable solutions, uncover high-value process-data use cases, guide customer adoption, troubleshoot integrations, mentor partners, and influence product roadmaps. Apply industrial process expertise to translate customer needs into technical solutions, collaborate with product and account teams, and communicate effectively with technical and executive stakeholders.

Own and develop Oracle ERP integrations across Oracle Fusion Cloud ERP, NetSuite, and JD Edwards. Design REST, SOAP, database, and file-transfer interfaces; investigate new ERP connectivity; build and maintain integrations; resolve production issues; document solutions; and support technical project managers with implementation and configuration. The senior role sets technical direction, handles complex customer cases, and mentors engineers.

Build and operate infrastructure supporting AI model training, inference, and product platforms. Responsibilities include managing Kubernetes and GPU clusters across cloud and on-premises environments, provisioning compute and networking, operating databases and Kafka, developing Python-based automation and self-service tooling, and leading cloud migrations and platform improvements focused on reliability, security, and cost efficiency.

Lead the design, implementation, and operation of computer vision and MLOps pipelines, including data curation, model training, evaluation, deployment, monitoring, and production troubleshooting. Set technical direction, improve testing and reproducibility, lead architecture discussions, mentor engineers, and collaborate across product, infrastructure, support, and external teams to connect model quality with client outcomes.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Design, develop, and operate reliable software and platform capabilities for Guidewire’s multi-tenant cloud platform. Build AWS infrastructure, Kubernetes platforms, automation, developer tooling, observability, authentication systems, and self-healing capabilities. Support incident response and 24/7 production operations while improving reliability, security, performance, and maintainability. Collaborate with engineering teams, document systems, mentor teammates, and help transform operations into a modern software engineering function.

Build and evolve backend services and APIs for an AI-driven networking product. Design and deliver product functionality end-to-end, improve existing microservices, collaborate on product decisions, and own solutions through deployment with minimal supervision. The role uses Node.js with NestJS, Go, PostgreSQL, gRPC, Docker, GCP, and AI developer tooling in a fully remote startup environment.

Develop quantitative models for sports pricing, odds compilation, and risk management. Analyze large datasets, identify trading insights, deploy models with engineers, monitor performance, conduct back-testing, and continuously improve model accuracy. Collaborate with data scientists and engineers to align models with business needs. The role requires Python, sports betting market knowledge, statistical modeling, and experience with odds and margin optimization.

Design, build, test, and deploy high-scale cloud platform infrastructure for Astronomer’s DataOps products. The role involves platform reliability, Kubernetes-based systems, observability, CI/CD, incident management, technical decision-making, documentation, cross-functional collaboration, and periodic on-call support. The engineer will help establish platform engineering practices and deliver reliable infrastructure across distributed cloud environments.

Build and operate Workday’s agent performance metrics platform, including telemetry pipelines into Apache Iceberg via dbt, CI/CD schema enforcement, and MetricsFlow semantic-layer services. Responsibilities include improving query performance, supporting multi-tenant data isolation, evolving governance models, developing APIs, and applying distributed-systems and data-quality principles. The role also involves technical design, architectural collaboration, documentation, and serving as a domain expert for pipeline design, schema governance, and metric serving.

Leads enterprise solutions architecture for predictive employee technology support, self-service, and controlled self-healing automation. Defines cross-platform architectures, API integrations, identity and data-handling standards, observability, safeguards, and operational ownership. Evaluates AI-enabled workflows, build-versus-buy decisions, and proofs of concept. Reviews technical designs, resolves tradeoffs, creates reference architectures, mentors engineers, and guides solutions from discovery through production operation across platforms including ServiceNow, Moveworks, Jira, Slack, Nexthink, Jamf, Intune, and Microsoft 365.

Build and operate Workday’s agent performance metrics platform, including telemetry pipelines into Apache Iceberg via dbt, CI/CD schema enforcement, data quality checks, and MetricsFlow semantic-layer services. The role focuses on governed metric serving, multi-tenant data isolation, low-latency queries, distributed systems, API development, and scalable data architecture. It also requires contributing to technical design, system documentation, architectural discussions, and engineering excellence across distributed teams.

Leads credit and growth strategy for consumer lending products in Ireland and the EU. Manages analysts, develops underwriting, pricing, affordability, and NPV strategies, monitors lending performance, collaborates on ML models, supports product launches, and communicates insights to executive stakeholders. The role also ensures appropriate credit capabilities, infrastructure, regulatory compliance, and cross-functional coordination.

Develops and governs clinical data standards and study specifications aligned with CDISC and regulatory guidance. Partners with statisticians and programmers to create compliance and productivity tools, mentors teams, monitors standards and regulatory updates, supports submissions, and represents the organization in industry standards initiatives. Requires extensive programming, clinical trial data, regulatory submission, mentoring, and CDISC expertise.

Supports portfolio engineering, investment research, risk management, and portfolio construction R&D. The intern will analyze data, assist with investment and operational functions, collaborate across teams, present findings, and develop quantitative skills using R or Python. The role requires strong analytical ability, attention to detail, communication skills, initiative, and study toward a quantitative degree.

Develop and maintain automated tests for backend applications and services using Selenium. Responsibilities include API and integration testing, defect tracking, CI/CD test integration, test framework maintenance, regression analysis, and quality reporting. The role collaborates with developers, QA engineers, and product teams and requires hybrid work from a customer office in Dublin.

Manage end-to-end software releases, coordinating cross-functional teams to deliver timely and reliable releases. Improve installation workflows, automate release processes, and collaborate with developers using GitHub. Build, support, and enhance cloud-native platforms with Golang and Kubernetes while applying CI/CD and DevOps practices.

Lead pre- and post-sales technical deployments of a containerized Agentic AI platform for financial services clients. Design cloud and on-premise integrations, build Golang services and Python AI components, implement CI/CD and automated testing, manage MLOps workflows, troubleshoot production issues, and guide customers and partners. The role requires frequent onsite customer engagement across Ireland and the UK, technical leadership during complex deployments, and collaboration with engineering and R&D teams.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, scalable microservices, and high-throughput, low-latency systems. Provides technical leadership across architecture, security, compliance, project planning, and software delivery. Develops in Java, Python, and Go; mentors engineers; drives engineering excellence; and applies automation, performance tuning, resilient design, databases, and AI technologies such as generative AI and LLMs.

Lead modernization of large-scale fraud rules and engine platforms, driving migrations, architecture, secure software development, and scalable distributed systems. Lead early-stage projects, scope and estimate work, mentor engineers, and ensure alignment with architectural standards, infrastructure, security, and business needs. Develop high-quality code in Java, Python, and Go while promoting engineering excellence, automation, performance, reliability, and continuous improvement across global, high-throughput platforms.

Leads modernization of fraud rules and engine platforms, large-scale migrations, and development of highly scalable, secure, low-latency systems. Provides architectural leadership, drives early-stage engineering projects, ensures compliance with technical standards, mentors developers, and collaborates across teams. Requires hands-on expertise in Java, Python, or Go; microservices, distributed systems, databases, DevOps, security, and high-availability platforms, with familiarity with generative AI and LLMs.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, architecture, scalable software development, and early-stage project delivery. Provides technical leadership across cross-functional teams, mentors engineers, ensures security and architectural compliance, and drives engineering excellence. Designs high-throughput, low-latency distributed systems using Java, Python, Go, databases, microservices, and emerging AI technologies. Supports planning, estimation, performance tuning, automation, and continuous improvement.