Top Python Jobs in Dublin

Lead product analytics by defining metrics, building metric frameworks, analyzing funnels and user behavior, designing and analyzing A/B tests, setting up instrumentation and dashboards, and partnering with product, engineering, and leadership to turn data into product strategy and measurable business impact.

Design and analyze A/B tests, apply statistics and machine learning to improve search, ranking, personalization and recommendations, analyze large-scale behavioral data, build models and tools, and communicate findings to technical and business stakeholders to drive key business metrics.

Design and build large-scale data pipelines and models, create dashboards and tools, define and validate business metrics, ensure data quality and performance across distributed systems, and partner with analysts, engineers, and product managers to deliver actionable analytics.

Design, build, and maintain scalable production pipelines and services to process clinical-grade 30x whole genome data. Optimize performance, reliability, and cost across AWS and hybrid environments. Develop tools and services (Python, C#, SQL, AWS) for genomic analysis, collaborate with cross-functional teams, ensure testing, observability, and validated output, and support consumer-facing DNA apps and reports.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Lead connectivity lifecycle for data center and PoP sites: assess site feasibility, design fiber pathways and POE/MMR layouts, manage carrier relationships and commercial negotiations (IRUs, leases), maintain geospatial/fiber documentation (KMZ/KML), and coordinate cross-functional delivery with procurement, construction and engineering teams across the region.

Lead the architecture and implementation of a production-grade generative AI media platform. Build reproducible, versioned pipelines, train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), automate QC against product references, deploy internal tools, and partner with design to own the technical roadmap and enable creative teams.

Support Global Costing by executing quarterly standard costing, maintaining SAP and Impact3C, performing product costing and manufacturing cost analysis, analyzing cost variances, supporting COGS and inventory valuation, partnering with Finance/Operations/Supply Chain/IT, driving process automation, and ensuring SOX and accounting policy compliance.

Lead DevSecOps engineer owning security and compliance implementation across infrastructure, CI/CD, Kubernetes, and cloud. Implement SOC 2/ISO controls in Drata, automate onboarding/offboarding and access reviews, drive SDLC security (SAST/SCA/secrets), run vulnerability management and incident response, and spend ~60% on infrastructure operations, monitoring, and on-call.

Lead end-to-end technical integrations of an AI voice-first CX platform into client infrastructure. Troubleshoot production issues (gRPC, SIP/VoIP, latency), deploy components with Kubernetes/Helm, coordinate with client DevOps/IT, manage releases and expectations, and drive architecture decisions for pilots.

Design and build scalable backend systems for PlanetScale's database platform (Vitess/Postgres), collaborate on distributed systems challenges, work autonomously and with customers, optimize performance, and mentor engineers while operating systems at production scale.

Advise and handle enterprise customer support requests for PlanetScale platform, act as customer-facing SME, identify and escalate product gaps, collaborate with TAM/Engineering/Sales Engineering, and participate in on-call rotation for high-priority incidents.

Lead end-to-end cloud data platform design and delivery for omnichannel retail clients. Split time between pre-sales discovery and architectural oversight during build. Architect AI-ready data foundations (feature stores, embeddings, vector DBs), define ingestion, storage, transformation, modeling, BI and CDP integration, and enforce automation, IaC, CI/CD, testing, and observability. Co-sell and present architectures to technical and executive stakeholders.

Support merchants integrating and operating Solidgate's payments platform: analyze client requests, troubleshoot technical issues, collaborate with product and engineering, communicate with clients, and maintain product documentation. Use SQL regularly; Postman and Python experience is a plus.

Lead SRE efforts to ensure reliability, scalability, and performance of a large-scale platform. Architect observability, define SLOs/SLIs, lead incident response and post-mortems, automate infrastructure and CI/CD, optimize Kubernetes/GCP deployments, debug distributed systems, mentor engineers, and write production-quality Python or Go code.

Ensure reliability, scalability, and performance of Replit infrastructure. Build observability, automate infrastructure with IaC, establish SLOs/SLIs, lead incident response and post-mortems, optimize performance and capacity planning, and maintain CI/CD and self-healing systems.

Lead end-to-end ML work: define product problems as ML tasks, prototype and ship models (ranking, retrieval, LLM agents), build evaluation and monitoring, and measure marketplace impact (bookings, retention, GMV). Collaborate with engineering, product, and growth to deploy production models and improve LLM reliability.

Lead architecture and implementation of scalable, secure backend services and APIs for a global crypto payments network. Drive technical decisions, mentor engineers, collaborate with product and design, optimize performance, and champion infrastructure-as-code, DevSecOps, and security best practices across services deployed on Azure and Kubernetes.

Design, build, and maintain end-to-end test automation frameworks (UI, API, smart contracts, wallet flows), write Web3-specific tests, integrate suites into CI/CD, improve coverage, and promote quality across engineering using AI-assisted tooling.

As a Forward Deployed Engineer, you will build features for an AI platform, develop integrating solutions, lead deployments, and engage with customers.

Design, develop, and maintain scalable Python/Django backend services and RESTful APIs for financial products. Implement data models, write tests, optimize performance, ensure availability and security, participate in code reviews, and collaborate with cross-functional teams to deliver features and maintain production systems.

Assist in grading writing problems, moderating student discussions, and supporting live classes while honing mentoring skills.

Design and implement complex customer-facing frontend features using TypeScript and React. Provide technical leadership, mentor junior engineers, drive frontend architecture and best practices, improve performance and accessibility, partner with product/design, integrate with backend APIs, and manage technical debt and scalability.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.