Top Python Jobs in Dublin

Leads DevOps capabilities for enterprise Analytics, Data, AI, and Machine Learning platforms. Responsibilities include AWS cloud infrastructure, Kubernetes and container platforms, CI/CD, Infrastructure as Code, observability, automation, security, compliance, cost optimization, and production reliability. The role partners with engineering, architecture, cybersecurity, and business teams while managing and developing global technical teams.

Leads and grows a software engineering team responsible for Windows application compatibility infrastructure. Sets technical strategy, roadmap, and execution priorities; ensures tools discover regressions before release; advances automation, AI-assisted testing, CI/CD, and incident response. Partners globally across Windows organizations, represents team outcomes to leadership, and develops an inclusive, high-performing engineering culture through hiring, coaching, and technical leadership.

Own a from-scratch rebuild of Nory's mobile app using React Native and TypeScript, ensuring reliability on low-spec devices and poor connectivity. Set architecture, design system, and migration plan, ship an MVP, integrate AI agents to speed development, and grow the codebase into a platform for cross-functional teams while maintaining high UX and reliability standards.

Leads eDiscovery and Risk Advisory engagements, including client development, data collection strategy, forensic coordination, workflow design, processing, review strategy, production planning, project finances, and close-out. Manages teams, mentors junior staff, supports recruiting, develops client relationships, and contributes to cross-selling and revenue growth. The role requires advanced eDiscovery technology knowledge, strong analytical and consulting skills, and willingness to travel nationally and internationally for extended engagements.

Build and deploy custom AI agent architectures, prompt pipelines, integrations, and execution frameworks for enterprise customers. Connect Salesforce Data 360 and external data platforms, develop observability and evaluation systems, rapidly deliver production MVPs, advise customer technical leaders, and relay platform gaps to Salesforce R&D. The role requires customer-facing delivery experience, software engineering expertise, LLM and agent orchestration knowledge, API design, SQL, data modeling, and modern cloud data warehouse experience.

Develop and maintain AWS Connect contact center solutions, serverless applications, APIs, and cloud-native integrations using Python. Integrate AWS services, manage CI/CD and infrastructure-as-code deployments, monitor reliability, resolve incidents, and apply security, scalability, and performance best practices. Collaborate with business and technology teams to deliver customer engagement, data platform, and enterprise integration solutions.

Own the realtime voice channel for an agentic AI travel assistant, including telephony integrations, streaming speech pipelines, model orchestration, latency, safety, and compliance. Build full-stack features with React, TypeScript, Scala, and Python on GCP; support multi-tenant architecture, observability, deployments, incident response, and SLA performance. Mentor engineers and collaborate across product, design, and operations.

Triage, investigate, and remediate security alerts using EDR telemetry, logs, and forensic artifacts. Perform tactical malware analysis and Microsoft 365/cloud investigations, contribute to detection engineering, escalate SOC issues, and support projects to improve analyst outcomes and partner security.

Close inbound deals with technical customers, manage proofs of concept, collaborate with solutions engineers, support customers in Slack, answer technical questions honestly, and improve internal sales systems. The role requires technical literacy, systematic pipeline management, strong written communication, urgency, independence, experimentation, and customer-focused judgment.

Analyzes sports and betting data, develops and tests mathematical models for pricing and risk management, and supports sports trading decisions. Responsibilities include sourcing and cleaning large datasets, identifying trends and correlations, automating analytical processes with programming, collaborating with quants, traders, engineers, and product managers, documenting methodologies, and staying current with quantitative analysis and betting markets.

Develop data-driven insights and recommendations to support Sportsbook and Casino growth. Analyze iGaming products, operations, and player behavior; partner with commercial stakeholders; build and refine scalable analytics and machine learning solutions; and contribute to personalization and promotion engines. The role also requires applying statistical methods, experimentation, and clear communication to guide business decisions.

Leads platform engineering initiatives across AWS cloud infrastructure, Kubernetes, CI/CD, GitOps, Infrastructure as Code, observability, and developer tooling. The role architects reliable and scalable platforms, improves developer productivity and operational excellence, partners with application teams, leads cross-team technical programs, mentors engineers, and participates in on-call rotations.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. Translate business needs into scalable data models and reliable data products, improve data quality and observability, resolve production issues, and establish reusable engineering tools and standards. Collaborate with product and business stakeholders, contribute to architecture decisions, mentor engineers, and participate in on-call support.

Leads a small engineering team while building scalable Java backend services for marketing campaigns, analytics, integrations, and AI-powered recommendations. Responsibilities include technical architecture, campaign and CRM data integrations, AI orchestration, evaluation and monitoring, system reliability, cross-team alignment, mentoring, and hands-on development. The role partners with Product, UX, ML, and data science teams to productionize trustworthy, explainable AI experiences.

Designs, deploys, troubleshoots, and continuously improves global LAN, WAN, Wi-Fi, cloud, manufacturing, and hybrid network infrastructure. Responsibilities include Zero Trust security, firewall and NAC management, SD-WAN, VPN, cloud connectivity, automation using Python, Ansible, and Terraform, observability, capacity planning, incident management, documentation, architecture reviews, and mentoring engineers.

Provides technical and analytical support to Global Risk Operations by cleaning and transforming data, querying databases, developing Tableau and Power BI dashboards, and producing operational reporting. Supports workflow automation, process improvement, risk analysis, and self-service solutions using SQL, Python, RPA, and AI technologies. Maintains data integrity, governance, compliance, documentation, and troubleshooting of automated tools.

Performs software and system safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, freedom-from-interference, and code-level hazard evaluations. Derives and traces safety requirements, defines fail-safe mechanisms, reviews safety-critical C++ and Python code, supports safety-case development, and collaborates with robotics, hardware, systems, software, and test teams to verify compliance and enable airport deployment.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Own and operate the end-to-end retrieval pipeline: parsing/chunking, embeddings, vector indexing, semantic+keyword search, reranking, and agentic retrieval loops. Build evaluation (golden sets, metrics, regression tests), ship robust Python/FastAPI services, ensure tenant isolation and data security, and make multilingual retrieval reliable under production load.

Deliver database upgrade services for cloud migrations, automate upgrade tooling, analyze and resolve data/code issues, mentor junior staff, achieve Guidewire product certification, and collaborate with customers to ensure timely, high-quality delivery.

The Senior Cloud Engineer is responsible for managing cloud infrastructure, improving systems scalability, deploying SaaS products, and mentoring junior team members, with a focus on automation and cloud security best practices.

Design and build scalable Python microservices and event-driven backend systems on AWS. Implement APIs, data models and Infrastructure-as-Code (AWS CDK/Terraform). Improve performance, scalability, observability and cost efficiency. Work across teams, mentor junior engineers, and influence platform architecture and engineering best practices.

Operate and automate a cloud-native cybersecurity data platform for the EU Sovereign region. Manage day-to-day administration, capacity planning, SLIs/SLOs, observability, incident response, and IaC to maximize uptime, reduce toil, and ensure compliance with European data residency requirements.

Build and lead Harvey’s Dublin-based Enterprise Application Engineering and AI Enablement teams. The role combines hiring and team development with hands-on system design, coding, integrations, code review, and production support. It owns internal applications, automations, SaaS integrations, reliability, security, and lifecycle management. The manager will apply AI agents to business workflows, establish engineering standards, partner with business stakeholders, make build-versus-buy decisions, and anchor BizTech engineering across EMEA.