Top Python Jobs in Dublin

Leads the planning, architecture, development, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives innovation from concept through production, champions automation across the software lifecycle, and ensures secure, resilient, maintainable systems. Collaborates with global engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for customer integrations and platform adoption.

Leads the planning, architecture, development, and delivery of scalable software solutions using AI models and emerging technologies. Drives innovation from concept through production, champions automation across the software delivery lifecycle, and ensures secure, resilient, high-performing systems. Collaborates with global engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for customer integrations and solution adoption.

Leads the planning, design, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives innovation from concept through production, designs secure and resilient architectures, champions automation across the software lifecycle, and collaborates with global engineering, data, product, operations, and customer teams. Provides technical leadership for customer integrations while improving platform performance, reliability, and user experience.

Leads the design, development, and delivery of scalable software and AI-enabled solutions. Drives innovation from research through production, designs secure architectures, champions automation across the software lifecycle, and collaborates with global engineering, data, product, operations, and customer teams. Serves as a technical subject matter expert for Emerging Data Signals, supporting integrations, solution adoption, platform reliability, and continuous improvement.

Leads the planning, architecture, development, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drives AI and emerging technology initiatives from research through production, champions automation across the software lifecycle, collaborates with global engineering and business teams, and provides technical leadership for customer integrations. Ensures solutions are secure, resilient, maintainable, performant, and aligned with enterprise standards.

Leads the planning, architecture, development, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drives AI and emerging-technology initiatives from concept through production, champions delivery automation, supports secure and resilient architectures, and collaborates with global engineering, data, product, operations, and customer teams. Provides technical leadership for integrations and solution adoption while improving platform performance, reliability, and customer experience.

Design, build, and operate enterprise-scale infrastructure platforms. Write and review production code, diagnose production issues, participate in on-call rotations, apply AI-assisted development, and improve scalability, reliability, security, and cost. Collaborate with stakeholders, decompose problems, measure impact, and contribute to platform-level technical decisions in a greenfield Dublin engineering hub.

Leads end-to-end data science systems, experimental frameworks, statistical and predictive modeling, and AI solutions supporting marketing, product growth, player engagement, and commercial strategy. Partners with cross-functional and executive stakeholders to define business problems, develop reliable models, communicate insights, and influence strategic decisions. Requires advanced R or Python, SQL, data warehouse experience, methodological expertise, and strong communication skills.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Design, develop, and maintain automated testing frameworks, performance tests, and internal tooling for MongoDB’s query engine. Collaborate with query engineers to ensure new features are testable and covered across standard and edge-case scenarios. Contribute to code reviews emphasizing reliability and robustness, improve test efficiency and coverage, and support correctness and performance validation for distributed query systems.

Own the technical side of commercial sales opportunities from qualification through close. Conduct discovery, design solution architectures, lead proofs of concept, deliver tailored demos, address objections, and advise technical and business stakeholders. Partner with account executives, product, engineering, support, and channel teams on integrations, security reviews, RFPs, and implementation planning. Contribute reusable demo assets, playbooks, competitive intelligence, and product feedback while supporting fast-moving EMEA sales cycles.

Designs, builds, and operates Scrunch’s cloud infrastructure, developer tooling, edge computing systems, observability, and reliability foundations. The role includes infrastructure automation, database performance and scaling, workflow orchestration, resilient asynchronous pipelines, production-quality Python development, and operating cloud services at scale, preferably on GCP.

Optimize customer production architectures and guide resilient, scalable, cloud-native application designs. Investigate database and distributed-system performance, evaluate architectural trade-offs, and recommend improvements across applications, APIs, infrastructure, security, and operations. Lead technical discovery with developers, architects, and engineering leaders, while advising on modernization and AI application patterns including Vector Search, RAG, and intelligent agents. Build trusted relationships and influence technical decisions across EMEA customers.

Design, build, and operate high-performance Kdb+/Q platforms for real-time and historical market data, partnering with traders and researchers to deliver scalable time-series analytics, streaming, and trading solutions while driving architecture, automation, and operational excellence.

Manage customer incidents and escalations from response through resolution, coordinating technical stakeholders and communications during sensitive or large-scale events. Implement monitoring, troubleshoot recurring cloud infrastructure issues, improve operational processes, document lessons learned, deliver incident-management training, lead improvement projects, and mentor peers. The role requires incident-management experience, technical support or IT experience, cloud familiarity, scripting knowledge, and strong cross-functional problem-solving skills.

Leads network margin analytics, financial planning, forecasting, reporting, and business performance analysis for pharmacy benefit services. Manages and develops an analyst, supports budgeting and client renewals, evaluates discount guarantees and legislation risks, and provides actionable recommendations to cross-functional partners and executive leadership. Owns the margin forecast process, financial reporting tools, process improvements, and executive presentations.

Provides technical support to major MongoDB customers by diagnosing and resolving complex architecture, performance, recovery, security, infrastructure, and database issues. Advises customers on MongoDB best practices at scale, advocates for customer needs with product and engineering teams, and contributes to internal support tooling for diagnostics, benchmarking, and performance. The role requires strong communication, troubleshooting, teamwork, adaptability, and willingness to provide occasional coverage outside regular hours.

Design, build, and support MongoDB Atlas DevOps and SDK tooling, including cloud integrations, Terraform providers, CloudFormation resources, and Go SDKs. Develop integration components for partner frameworks, incrementally deliver complex projects, troubleshoot customer issues through Level 2 support, and collaborate across teams. The role also involves project ownership, roadmap contributions, knowledge sharing, and mentoring.

Leads hands-on development of AI and agentic systems for a scalable enterprise AI platform. Designs and delivers reusable services, integrations, workflows, APIs, data pipelines, knowledge-base capabilities, and orchestration layers. Provides technical direction, reviews code, mentors engineers and vendors, and partners across product, business, architecture, and engineering teams. Ensures production solutions meet security, privacy, compliance, reliability, scalability, and cost objectives.

Leads hands-on development of AI and agentic platform capabilities, including LLM integrations, orchestration layers, APIs, workflows, data pipelines, and knowledge-base features. Translates architecture into scalable production solutions, guides engineers and vendors, reviews code, mentors team members, and ensures security, privacy, reliability, compliance, and operational standards. Partners across product, business, data, and engineering teams to deliver reusable AI capabilities and support transformation initiatives.

Leads the design, development, testing, troubleshooting, and production support of HP NonStop Tandem applications for mission-critical payments and card-processing platforms. Architects secure and resilient solutions, optimizes SQL, creates design artifacts, leads agile delivery, identifies systemic risks, and mentors engineers. The role also promotes CI/CD, automated testing, release management, and responsible use of AI-assisted development tools.

Design, develop, test, troubleshoot, and support mission-critical HP NonStop Tandem payment applications. Build and maintain COBOL- and SCOBOL-based solutions, write SQL queries, create architecture artifacts, resolve production issues, and improve system resiliency and performance. Collaborate in agile teams with product, operations, QA, and business stakeholders while applying CI/CD, testing, release management, secure coding, and AI-assisted development practices.

Quantitative Researchers at Citadel use advanced statistical techniques to develop models and trading strategies, backtesting them in live environments.

Secure Zapier’s production infrastructure by identifying and mitigating risks, hardening cloud environments, improving Terraform and CI/CD security, managing vulnerability and misconfiguration tools, enforcing least-privilege access, strengthening data governance, hardening Kubernetes images, and supporting incident response. The role collaborates with Platform, Engineering, and Security teams in a remote-first environment.

Six-month, full-time software engineering internship beginning January 2027. The intern will collaborate with engineering and cross-functional teams, learn software development methodologies, and contribute production-level code to MongoDB products and services. Responsibilities include applying computer science fundamentals, software design, algorithms, and data structures while working within integrated engineering teams. The role is hybrid in Dublin, requiring office attendance three to five days per week.