Top Python Jobs in Dublin

Design, build, and maintain scalable backend services for eBay's Cloud Security Segmentation platform. Develop Kubernetes-based control plane services, troubleshoot distributed systems and cloud infrastructure, use CI/CD and automated testing, participate in code reviews and incident response, and leverage AI-assisted engineering tools to improve productivity and reliability.

Develop software for high-performance networking hardware and embedded Linux systems. Responsibilities include writing C/C++, Go, and Python code; implementing routing protocols and configuration services; programming ASICs, FPGAs, and hardware interfaces; reconciling kernel and switch forwarding states; and building automated testing systems for large-scale network devices.

Own and improve Quora’s second-phase ranking models for feed and digest experiences. Build end-to-end machine learning systems covering data pipelines, candidate extraction, feature engineering, model training, and production integration. Identify new product applications for machine learning, develop efficient algorithms with other ML engineers, and contribute methodologies for large-scale recommendation systems.

Provides technical support to SaaS customers through chat, email, and Slack. Troubleshoots APIs, integrations, workflows, networking, authentication, security issues, and self-hosted deployments; creates and documents Tines workflows; and supports customers during remote sessions. The role requires independent prioritization and escalation during weekend shifts, clear handoffs across regional teams, customer empathy, product feedback, bug identification, and collaboration with internal teams.

Build and evolve Polar’s finance and monetization platform for AI products. Own product development end-to-end across frontend and backend systems, create intuitive developer experiences, ship reliable software quickly, engage with merchants, and translate feedback into product improvements. The role requires strong technical foundations, product judgment, design sensibility, autonomy, engineering quality, and comfort working across the stack. Payments, billing, developer tools, open-source contributions, and side projects are valued.

Build and operate reliable platform systems supporting billing, payments, financial workflows, and usage-based software. Responsibilities include evolving cloud infrastructure, improving observability and incident response, creating developer tooling and automation, optimizing distributed backend systems and databases, and ensuring security, auditability, and financial data correctness. The role requires pragmatic technical judgment, product awareness, end-to-end ownership, and experience operating production systems at scale.

The Senior CloudOps Engineer will manage and enhance cloud infrastructure on AWS, automate processes, optimize performance, troubleshoot issues, and work collaboratively with cross-functional teams.

Own Roamless’s product analytics practice from scratch. Design and run A/B tests, establish experimentation frameworks, define product metrics, analyze user behavior, build dashboards, identify optimization opportunities across activation, monetization, and retention, and translate insights into product recommendations. Partner closely with product, design, and engineering teams while building a data-driven culture across the organization.

Own Roamless’s product analytics practice from the ground up. Design and analyze A/B tests, establish experimentation frameworks, define product metrics, build dashboards, identify opportunities across activation, monetization, and retention, and translate insights into product recommendations. Partner with product, design, and engineering teams while building a data-driven culture across the organization.

Serve as a technical-strategic partner for AI Decisioning customers, leading use-case delivery from discovery through go-live and expansion. Collaborate with engineers, executives, marketers, and IT stakeholders to define requirements, explore customer data, recommend marketing improvements, manage project risks, and develop delivery best practices. The role also contributes to AI Decisioning product strategy and requires customer-facing consulting, strong communication, and 10–25% travel.

Own product and infrastructure security across fintech products and cloud environments. Lead threat modeling, architecture reviews, secure code reviews, vulnerability management, bug bounty operations, CI/CD security scanning, IAM and secrets management, and security standards. Partner directly with engineering leadership to identify and remediate critical vulnerabilities across backend services, APIs, frontends, Solana programs, and infrastructure.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Own the backend of a white-label travel platform, designing architecture, integrating travel APIs and payment providers, improving technical debt, and building reliable schedulers, workers, and AWS infrastructure. The role requires hands-on Node.js and TypeScript development, product ownership, and technical decision-making while expanding into experiences, car rentals, and additional payment verticals.

Build and operate backend pricing systems for real energy contracts. Responsibilities include designing the Pricing API, consolidating pricing logic, improving quote speed, implementing error handling and observability, creating alerting, explaining pricing failures, and supporting live incidents. The role requires production Python backend experience, FastAPI, SQL, data-heavy systems, end-to-end project ownership, and AI-assisted development workflows.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Conduct research across the full machine learning lifecycle, including ideation, model design, implementation, evaluation, training, inference optimization, and deployment. Develop novel machine learning methods and foundation models, establish evaluation protocols, scale training with GPUs or TPUs, and improve research engineering infrastructure for rapid experimentation.

Provide hands-on technical support for strategic customers, troubleshooting complex API, integration, authentication, performance, and production issues. Analyze logs and system behavior, lead incident response, communicate with stakeholders, monitor customer health, prepare runbooks, conduct postmortems, and drive preventative improvements. Partner with Engineering, Product, Technical Success, and account teams to improve reliability, tooling, automation, and the Premium Support operating model.

As a Data Engineer at Yahoo, you'll implement AI/ML capabilities, build data pipelines, optimize workflows, and collaborate with teams to enhance user experiences.

Develop and maintain Layer1 networking software controlling physical connectivity components, including PHYs, transceivers, optics, and gearboxes. Design features, instrumentation, telemetry, automated tests, and hardware control interfaces using C, C++, and Python. Troubleshoot customer and system-test issues, optimize performance, lead projects, collaborate with hardware and manufacturing teams, and mentor junior engineers.

Advance analytics and ML solutions for a global pharma client: develop, implement and monitor models; build data models and BI analyses (Spotfire); liaise with stakeholders; improve provisioning and inspection-ready documentation; apply statistical methods to solve business use cases.

Owns the engineering and evolution of digital behavioral telemetry, web telemetry, RUM, and conversion data. Designs event taxonomies, schemas, contracts, data models, and governed data products supporting analytics and conversion measurement. Partners with product and engineering teams on instrumentation, observability, data quality, privacy, testing, and lifecycle controls. Serves as the senior technical subject matter expert for telemetry and behavioral data while enabling analysts and stakeholders to use trusted data products.

Build and deploy Salesforce Data 360 solutions in enterprise customer environments. Develop ingestion pipelines, data models, identity resolution, integrations, retrieval systems, vector search, and agent communication protocols. Write SQL, Python, and Apex; test and debug production implementations; apply security, governance, and distributed-systems principles; and collaborate with customers, architects, partners, and product teams through deployment, handoff, and stabilization.

Design, develop, test, debug, and scale engineering productivity tools and infrastructure. Collaborate with software engineers to identify and resolve workflow, tooling, and infrastructure bottlenecks. Support CI/CD, testing, analysis, visualization, and observability systems while owning projects from definition through deployment and ensuring delivery quality.

Leads end-to-end software engineering for analytics platforms and applications, including architecture, development, testing, deployment, support, and technical direction. Builds scalable AI-powered solutions and large-scale data pipelines with Python, PySpark, and SQL. Evaluates emerging AI tools, maintains GitHub Actions CI/CD, supports cloud development, conducts reviews, creates prototypes, documents systems, and partners with product, architecture, data science, and engineering teams.

Two-year graduate role within daa Labs’ Technology or Data Team. Graduates will develop applications, automation, cloud infrastructure, dashboards, data pipelines, models, and analytics solutions supporting airport operations, retail, commercial, and corporate functions. The role includes collaboration with stakeholders, exposure to real-time systems and enterprise technologies, and structured technical and professional development.