Top Python Jobs in Dublin

Lead architecture and technical strategy for eBay's core data platform. Design scalable, secure distributed data systems (streaming and batch), build reusable frameworks, drive migrations, optimize cost and reliability, mentor engineers, and enforce engineering excellence, observability, and compliance.

Support Payments, Billing, Collections, and Finance production systems by leading incident response, escalation management, troubleshooting, and release support. Design AI-powered monitoring, intelligent triage, and auto-remediation workflows, improve observability and resiliency, maintain runbooks and SOPs, and ensure compliance with month-end close and SOX IT controls.

The Senior Forward Deployed Engineer will enhance customer experiences with AI by consulting on technical solutions, driving product adoption, and collaborating with teams to achieve customer success.

Design and optimize large-scale, high-performance ETL/ELT pipelines for security telemetry. Lead MDM, data enrichment, quality/observability, cataloging, and governance. Build dimensional data marts and semantic layers, enforce PII masking and retention policies, and mentor the data engineering squad to ensure discoverable, trusted security data assets.

Lead partner integrations and technical support for Pinterest's business products. Own technical relationships with Tier 1 partners, drive API launches and large-scale integration projects, provide on-call and proactive support, build monitoring systems, collaborate with Product and Engineering, define team tools/processes, mentor juniors, and implement AI-driven automations to scale support.

Design, implement, test, and review software across the stack to build and optimize AI infrastructure. Collaborate with engineers, support customers through scoping, proofs-of-concept, trials, and production escalation, and help shape company culture and processes in a fast-paced startup.

Design, build, and manage the CloudOS platform for Autodesk, focusing on deployment needs, reliability, and collaboration with internal teams. Expertise in CI/CD, cloud services, and infrastructure management is essential.

Drive technical pre-sales for Auth0 by discovering customer requirements, building demos and PoCs, progressing deals with sales, educating stakeholders across technical and business audiences, and integrating AI-driven customer experiences and fine-grained authorization solutions.

Design and build AI prototypes and deployable machine learning solutions by analysing large cloud-hosted datasets, collaborating across domains on predictive modelling and fraud detection, leading projects end-to-end, applying software engineering best practices, mentoring junior team members, and presenting findings to technical and non-technical stakeholders.

Lead and operate Equifax's AI Innovation Lab in Wexford, defining and executing UK&I AI strategy. Oversee AI model development (including Vertex AI, Gemini, BQML), mentor data science teams, manage projects and resources, ensure governance and compliance, collaborate with stakeholders to deliver production AI solutions and revenue-generating programs, and communicate strategic impact to senior management.

Design, develop, and optimize embedded firmware for high-performance systems. Collaborate to ensure seamless integration and conduct firmware validation.

Design and develop embedded firmware for ARM Cortex microcontrollers, ensuring performance and reliability while optimizing power and memory usage. Collaborate with teams and utilize debugging tools for validation and testing.

As an Infrastructure Engineer at Telnyx, you'll deploy and maintain infrastructure automation, improve internal architecture, and become an expert in cloud technologies and container management.

Own a from-scratch rebuild of Nory's mobile app using React Native and TypeScript, ensuring reliability on low-spec devices and poor connectivity. Set architecture, design system, and migration plan, ship an MVP, integrate AI agents to speed development, and grow the codebase into a platform for cross-functional teams while maintaining high UX and reliability standards.

Join Guidewire's Platform team to automate and manage cloud-native, multi-tenant SaaS infrastructure. Improve reliability, observability, incident management, SSO platforms, and core infrastructure via automation, IaC, container orchestration, and collaboration with product teams.

The role involves developing scalable safety infrastructure, APIs, and monitoring systems while collaborating with ML engineers to integrate AI models into production.

Senior SRE-focused software engineer responsible for building reliable, scalable data platform infrastructure and tooling. Automate CI/CD and delivery, operate cloud-native services, support distributed big-data systems (Spark, Iceberg, Trino), implement IaC, observability, and make engineering workflows repeatable and efficient.

Build and automate reliable, scalable distributed systems and infrastructure. Develop CI/CD pipelines, tooling, and immutable services in cloud environments (AWS/GCP). Monitor and instrument systems, debug JVMs, and use IaC, containerization, serverless, and big-data technologies to improve developer efficiency and deployment reliability.

The Software Engineer for Data Infrastructure & Acquisition will enhance data collection for AI model training, improve ingestion pipelines, and collaborate with AI scientists for optimal data usage.

Analyze GTM and marketing ops to identify inefficiencies, build automations and integrations (Python, APIs, automation platforms), maintain Salesforce data quality and workflows, translate between technical and non-technical stakeholders, leverage LLM tooling to automate tasks, evaluate new tools, and produce documentation and recommendations.

The Senior Software Engineer will build and maintain systems for AI deployment, focusing on performance, efficiency, and infrastructure for model serving. Responsibilities include designing routing algorithms, managing compute resources, and deploying new models globally.

The Senior Cloud Engineer is responsible for managing cloud infrastructure, improving systems scalability, deploying SaaS products, and mentoring junior team members, with a focus on automation and cloud security best practices.

The Senior Penetration Tester performs advanced security assessments, identifies vulnerabilities, mentors other testers, and communicates findings to clients. Responsibilities include manual testing, reporting, and collaboration with various teams.

Lead end-to-end development and production deployment of machine learning models for fraud detection: preprocess large datasets, engineer features, build and monitor models on cloud platforms, collaborate with product and engineering, mentor junior staff, and establish data science best practices and governance.

Act as the hands-on technical expert for Agentforce Contact Center: design and own architectures, lead workshops and proofs-of-concept, drive deployments and escalations, inform product roadmap with field insights, enable customers and partners, and represent the product at events.