Top Python Jobs in Dublin

Design, implement, and operate global cloud voice networking: SIP/RTP flows, carrier interconnects, SBCs, VPNs, and multi-region AWS/Azure architectures. Optimize voice quality, run customer onboarding and connectivity workshops, automate provisioning with IaC, participate in incident response and HA/DR planning, and support capacity, scalability, and global expansion.

Design, implement, and support features for the MongoDB Atlas API Platform and developer tools (e.g., Atlas CLI). Build IaC tooling and integrations, work with cloud platforms, ship incremental features, investigate customer issues (Level 2 support rotation), and collaborate across distributed teams while mentoring peers.

Provides Tier 3 technical support for Arista networking products and protocols. Troubleshoots hardware, software, installation, compatibility, and operational issues; recreates problems in a lab; recommends corrective actions; and documents recurring issues. The role communicates directly with customers and collaborates with software and hardware engineering teams to diagnose and resolve complex networking problems while supporting product quality and development.

Serves as the highest technical escalation point for global network operations. Leads complex incident resolution, root cause analysis, mentoring, network troubleshooting, infrastructure projects, datacenter migrations, cloud connectivity, security reviews, and enterprise network design. Supports Cisco ACI, firewalls, load balancers, SD-WAN, routing, switching, cloud networking, automation, monitoring, and network security across mission-critical environments.

Own identity and endpoint security across the company, including SSO, MFA, access provisioning, access reviews, MDM, EDR, device security baselines, and IT workflows. Respond to identity and endpoint incidents, assess vendor and SaaS integration risks, support secure AI tool adoption, automate security processes, and help develop scalable security policies and controls.

Design, build, and maintain Chromium-based browser components in C++ across multiple layers. Harden browser isolation and network infrastructure using networking and HTTP security expertise. Build AI agent and MCP integrations, develop supporting tools in Python or Rust, and deploy cloud infrastructure with AWS, GCP, Kubernetes, and Terraform. Optimize high-scale systems and collaborate with product, security, and AI teams.

Lead Infrastructure Engineer designs, implements, and modernizes infrastructure for performance, resiliency, and security. Responsibilities include cloud and on-prem migrations, Kubernetes and cloud-native app administration, data streaming (Kafka/Event Grid/Service Bus), scripting and CI/CD automation, AI-assisted infrastructure analysis, and cross-functional collaboration to deliver traceable, auditable infrastructure changes.

Drives AI marketing strategy and transformation for enterprise customers. Owns AI Decisioning use cases from discovery through launch and expansion, leads customer design sessions, documents requirements, manages technical projects, mitigates risks, builds stakeholder relationships, and identifies campaigns or optimizations that improve outcomes. Partners closely with engineers, product teams, marketers, executives, and IT stakeholders while contributing to AI Decisioning product strategy.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Own bespoke client projects end to end, from scoping and API design through UI, backend development, release, and production support. Build polished interactive tools, generative AI products, and client-embedded experiences using modern full-stack technologies. Collaborate closely with designers, improve reusable products, establish safe AI-assisted development practices, and contribute through code review, mentoring, documentation, hiring, and technical leadership.

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

Senior backend engineer responsible for designing, developing, testing and deploying on-premise and cloud microservices for an AI-driven digital pathology product. Work with cross-functional agile teams, use containerization and cloud tech, support monitoring and troubleshooting, drive development best practices, and complete required regulated-environment compliance training.

Build and optimize ZOE’s customer-facing website using TypeScript, React, and Next.js, with a strong focus on accessibility, performance, responsive design, and design-system development. Collaborate with designers, analysts, and product teams on user experiences and A/B testing. Contribute to backend services using Kotlin or Python, support API development, write maintainable code, and ship production improvements regularly.

Build, operate, and improve secure, scalable AWS infrastructure for the ELN Platform. Responsibilities include infrastructure-as-code, automation, observability, monitoring, incident response, cloud security, reliability improvements, troubleshooting, peer code reviews, and collaboration with engineering, security, and DevOps teams.

Build and maintain production systems, engineering tools, CI/CD and release automation, testing infrastructure, and foundational engineering platforms. Investigate scalability bottlenecks and production incidents, automate system administration and integrations, and collaborate with QA and development teams. Provide mentorship, share knowledge, capture requirements, and improve engineering processes across the company.

Develop and optimize GPU clusters and InfiniBand networks for hyperscale HPC environments. Responsibilities include troubleshooting hardware and infrastructure issues, integrating new GPUs through Kubernetes, QEMU, and KVM, managing GPU devices and InfiniBand fabrics, tuning performance, and improving automated monitoring and fault resolution.

Analyzes marketing and CRM data to define metrics, identify performance opportunities, maintain data quality, and support cross-functional decision-making. Builds Tableau dashboards, evaluates marketing channel effectiveness, develops automated reporting, and recommends optimization strategies. Requires advanced SQL, statistical analysis, attribution knowledge, and experience with marketing analytics. Collaborates with Marketing, Finance, and Product while working independently.

Owns cross-functional operational improvement across Underwriting, Product, Engineering, and Sales. The role identifies root causes, defines KPIs, analyzes data, builds workflow automations, manages projects end to end, and develops AI-enabled ticket triage, routing, and fraud-detection workflows. It requires hands-on SQL, scripting, AI automation experience, stakeholder management, and independent ownership in a fast-paced environment.

Design, build, and maintain infrastructure automation and virtualization platforms (Terraform, Ansible, Python) for on-prem and hybrid cloud. Manage CI/CD pipelines, optimise Nutanix/KVM/VMware platforms, monitor with Prometheus/Grafana/Datadog, support AWS/Azure integration, enforce policy-as-code and security hardening, and mentor junior engineers.

Lead and mentor backend engineers building Stripe’s API infrastructure. Own cross-functional infrastructure projects, establish technical roadmaps, provide architecture and incident-response leadership, and build secure, reliable, performant APIs. Improve platform scalability and efficiency while partnering with internal customers and stakeholders. Participate in on-call rotations and contribute hands-on code and technical direction across a large engineering organization.

Operate and evolve GIPHY’s cloud, CDN, Kubernetes, and CI/CD infrastructure at internet scale. Improve reliability, scalability, deployment safety, developer experience, and cost efficiency. Design multi-region Kubernetes environments, troubleshoot complex production incidents across infrastructure layers, and apply observability, automation, infrastructure as code, and AI-assisted engineering practices. Partner with development teams to resolve issues and drive upgrades, patching, optimization, and technical debt reduction.

Architects and deploys multimodal 2D/3D object detection and tracking models using camera, LiDAR, and radar data. Owns perception data collection, dataset development, evaluation pipelines, production monitoring, and the perception system roadmap. The role also requires cross-functional leadership and mentoring junior engineers.

As an Enterprise Sales Engineer, you'll provide technical support during sales processes, deliver presentations to clients, and engage with customers to ensure successful technical evaluations and product integration.

Conduct frontier applied research on efficient AI model architectures, including sparse attention, long-context memory, selective computation, dynamic inference, reasoning, and continual adaptation. Formulate research questions, design rigorous experiments at meaningful scales, develop efficient implementations, publish findings, contribute to open-source tools and models, mentor researchers, and help direct the research stream.

Own the data transformation layer by building scalable dbt and SQL models on Trino and GCP infrastructure. Establish standards for modeling, testing, monitoring, version control, and data quality. Partner with finance, operations, customer success, marketing, and business stakeholders to deliver reliable data products for BI, reporting, and reverse ETL. Optimize warehouse performance and ETL efficiency while supporting near-real-time metrics and financial reporting.