Top Python Jobs in Dublin

Develop, test, and deliver C++ features for a Windows-based 3D CAD system and supporting cloud services. Implement and prototype functionality, improve algorithms for performance, write unit tests, participate in code reviews, and collaborate with QA, product, and cross-functional teams to clarify requirements and ensure high-quality releases.

Lead design and execution of test plans for 3D CAD applications, APIs and AI features. Develop and maintain Python-based automated tests, manage datasets for AI, validate AI algorithms, set up CI, perform non-functional testing, analyze results, and collaborate with cross-functional teams to ensure production-ready releases.

Design, build, and maintain large-scale data pipelines, lakehouse and analytics systems. Develop frameworks, SLAs, complex queries, and collaborate with engineers and data scientists to deliver data-driven solutions and prototypes.

Build and scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

Design, build, ship, and support backend services and end-to-end features focused on reliability, scalability, and performance. Debug production issues, write and debug SQL, follow testing best practices, collaborate in a remote team, participate in on-call, and contribute to architecture and roadmap decisions.

Design, build, ship, and maintain end-to-end product features across frontend, backend, and data layers. Own projects from definition through production, improve reliability and scalability, collaborate with product and design, mentor engineers, and engage with customers to solve real user problems.

Proactively explore RevenueCat data to identify customer problems and opportunities. Translate ambiguous product questions into analyses and production-grade predictive/descriptive models. Partner with Product, Engineering, and Analytics to shape roadmaps, define experimentation and benchmarking approaches, deploy and iterate on models powering customer-facing features, and communicate insights across technical and non-technical audiences.

Lead optimization of concurrent systems, scale backend microservices, and collaborate with developers and engineers on deployment for retail solutions.

Design, build, and operate high-frequency, event-driven data pipelines into Snowflake; implement reverse ETL; model data with dbt; deploy cloud infra as code; monitor and improve production reliability, latency, quality, and cost; mentor teammates and establish data engineering standards.

Lead data science projects end-to-end: define high-impact problems, build and productionize models (recommendations, uplift, forecasting), own experimentation and measurement, operate reliable pipelines, and mentor the team to drive business metric improvements.

Build, deploy, and operate Cloudbeds' POS product end-to-end across React Native/Expo frontend, Python/FastAPI backend, Terraform and Kubernetes infrastructure. Implement offline-first sync, reliable APIs, payments, observability, testing, and production support while collaborating with product and cross-functional teams.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Design and develop core backend systems and APIs for AI applications, ensuring performance and reliability while collaborating with frontend teams.

Design, build, and operate production systems (Python/Java/SQL) that detect, investigate, and disrupt cybercrime. Develop AI-native, agentic workflows, services, and pipelines, own end-to-end delivery, and translate attacker research into scalable protections.

Design and analyze clinical trial statistical methodologies, perform and validate statistical analyses and models, support protocol and design decisions, and contribute to statistical analysis plans for regulatory submissions.

The candidate will design and implement software incorporating machine learning algorithms, optimize data pipelines, develop APIs, and provide mentorship to Junior Engineers.

Design and build software solutions for RenaissanceRe users, providing technical leadership and mentoring within the engineering team while ensuring high-quality standards and collaboration across the organization.

The Senior Systems Engineer will manage global infrastructure, oversee service availability, perform server maintenance, and design hybrid cloud environments, ensuring operational excellence and security incident response.

Design and execute system-level test cases for a network management system, troubleshoot issues, write bug reports, and improve user experience.

The POC Engineer designs and demonstrates networking solutions for clients, manages complex test topologies, and collaborates on product enhancements.

Conduct quantitative analysis of private equity co-investments, evaluate market risks and returns, and support investment team decisions with statistical insights and modeling.

The AI Support Engineer will solve complex customer issues, provide technical support for OpenAI products, and improve internal processes using AI and scripting.

Build and maintain scalable, resilient APIs and backend services for agentic AI use cases. Design contract-first APIs (OpenAPI/Swagger), ensure routing, auth, validation, transformation, and error handling. Improve observability, performance, and reliability; write tests and docs; own services end-to-end; mentor peers and collaborate across teams to enable AI-driven workflows.

Lead design and implementation of high-throughput, low-latency backend services and APIs optimized for agentic AI. Define API contracts (OpenAPI), improve performance, observability, and resiliency, mentor engineers, own incident response and RCA, and create tools and patterns for cross-team API governance and data exposure.

Serve as the Designated Person for Fund Risk overseeing fund risk framework and daily risk management for UCITS/AIF funds and IPM mandates. Monitor credit, liquidity, and counterparty risk; review manager reporting; escalate breaches; report monthly/quarterly to boards; perform manager due diligence; collaborate with operational and investment DPs; lead a small team and provide guidance on regulatory changes and risk appetite compliance.