Top Python Jobs in Dublin

Provide technical support for ClickHouse and Langfuse customers across EMEA and global regions through cases, chat, Slack, community channels, and calls. Troubleshoot database, cloud infrastructure, AI application, tracing, and evaluation issues within SLA and on-call rotations. Develop documentation and educational content, assist with technical proofs of concept, mentor colleagues, escalate bugs, collaborate with Engineering and Product teams, and support customer implementations directly in codebases.

Design and operate customer-facing networking APIs, Python orchestration control planes, and automation that configures routers across global points of presence. Build resource allocation, job queues, retries, rollback, reconciliation, BGP, WireGuard, GRE, NAT, firewall, DNS, cloud interconnect, and Envoy xDS integrations. Own production monitoring, incident response, billing synchronization, API compatibility, and network configuration drift detection across application and infrastructure layers.

Lead and grow an 8–10-person engineering team responsible for core trading backend services, including matching engines, market data gateways, and order entry systems. Guide migration from legacy to modern systems, contribute to architecture and coding, prioritize performance and market data, adopt AI-assisted engineering practices, and partner with product and engineering teams to execute roadmaps.

Operate and scale high-throughput MariaDB/MySQL clusters supporting globally distributed financial services. Responsibilities include database tuning, replication, high availability, disaster recovery, backups, automation, observability, security, containerized deployments, infrastructure-as-code, and partnership with engineering teams. The role also participates in on-call rotations and improves operational reliability through SRE practices, documentation, measurable KPIs, and preventative engineering.

Design and evolve core cloud platform services, control-plane components, internal APIs, and platform abstractions. Build production-grade Go services and tooling, drive architectural initiatives such as gRPC migration and eventing foundations, and improve scalability, reliability, and developer productivity. Collaborate across engineering teams, support production systems and incident response, and drive long-term technical solutions for managed cloud and enterprise deployments.

Lead Pantheons SecOps strategy, architecture, and tooling. Build detection engineering, incident response, threat intelligence, and vulnerability/exposure management programs. Drive automation, EU regulatory compliance (GDPR/NIS2), abuse prevention, business resilience, and executive risk reporting while mentoring engineers and influencing cross-team security decisions.

Design, build, deploy, and operate platform security solutions (key management, PKI, HSMs) at enterprise scale. Automate infrastructure, run databases, ensure resilience and scalability in a microservices environment, and support production security operations across teams and time zones.

Design, build, and automate security controls and processes across cloud and enterprise environments. Perform technical assessments, penetration and segmentation testing, threat detection and response, and collaborate with architecture and SRE teams to implement zero-trust, IAM, and security tooling to improve F5's overall security posture.

Lead CI/CD Platform Engineer will modernize CI/CD and platform practices, design GitHub/Jenkins pipelines, IaC and automation, enable vendor-operated production via runbooks and SLOs, improve observability and incident response, and partner across teams to raise release maturity and operational readiness.

Build and enhance a robust, flexible, high-performance Order Management System for systematic investment strategies. Collaborate with traders, quantitative researchers, operations, and engineering teams to support millions of orders across listed and OTC markets. Develop distributed, event-driven services, improve system performance and agility, and contribute to software engineering practices including continuous integration, code review, testing, and refactoring.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Leads the identification, development, testing, and scaling of AI and automation solutions across internal delivery processes and future customer-facing use cases. Builds automated test suites, scripts repetitive workflows, pilots generative AI and agentic tools, creates reusable automation assets, tracks measurable value, and enables teams through training and knowledge sharing. Collaborates with project managers, product owners, process owners, testing communities, and delivery teams to ensure maintainable, responsible, and broadly adopted solutions.

Provide expert technical support for a cloud-native security platform across AWS, Azure, GCP, OCI, and SaaS environments. Investigate cloud integrations, IAM, networking, Kubernetes, workload scanning, runtime security, vulnerability findings, CI/CD security, infrastructure-as-code, and threat detection issues. Build AI-agent and agentic workflow automation to improve support efficiency and resolution quality. Participate in an after-hours, holiday, and weekend on-call rotation.

Architect, develop, integrate, test, debug, and optimize embedded software for diverse hardware platforms using RTOS, bare-metal, Zephyr, and Linux environments. Lead software architecture, system validation, test automation, and multi-threaded application development while collaborating with hardware and software teams. Define test strategies, analyze defects, document designs, conduct code reviews, mentor engineers, optimize performance and power usage, and contribute to open-source projects.

Join a Dublin-based Agile team building Broadridge's cloud-native Securities-Based Lending platform. Design, develop, test and maintain full-stack applications and scalable backend services using Python, FastAPI, Java and Spring Boot; build RESTful APIs and microservices; deploy to AWS with CI/CD; perform code reviews; troubleshoot production issues; participate in architecture, sprint planning and mentor junior engineers.

Designs, automates, and operates secure, scalable AWS infrastructure using Terraform, CI/CD pipelines, containers, and Kubernetes. Improves observability, reliability, deployment workflows, security, cost efficiency, and incident response. Troubleshoots production issues across infrastructure, applications, networking, and pipelines while collaborating with globally distributed engineering, security, and QA teams. Provides EMEA operational coverage and develops automation using Python, Bash, and AI-assisted tools.

Build and lead full-stack growth features across onboarding, monetization, retention, and AI-driven experimentation. Own architectural direction for AI-first product engineering, including agent workflows, scalable codebases, API contracts, documentation, and evaluation systems. Partner with product, design, and data teams to validate ideas quickly, measure outcomes, mentor engineers, and improve learning velocity.

Design and build scalable data foundations, pipelines, semantic models, dbt tooling, AI agents, and analytics infrastructure. Lead platform standards, observability, cost optimization, ingestion patterns, and cross-functional initiatives from ambiguity through production. Provide technical leadership, mentor team members, document best practices, and partner with stakeholders to deliver reliable data and AI solutions.

Partner with founders and leadership to turn internal data, market research, and competitive analysis into strategic decisions. Own analytics from raw data through recommendations, identify growth and margin opportunities, build financial and business cases, and launch initiatives that improve efficiency, unit economics, and profitability. Drive strategic projects end-to-end while measuring progress against business outcomes.

Partners with founders and leadership to turn data into strategic decisions affecting growth, margins, and profitability. Owns analytics from raw data through recommendations, conducts market and competitive analysis, builds business cases, and leads strategic initiatives end-to-end. The role identifies efficiency and monetization opportunities, develops financial models, measures business outcomes, and supports cross-functional decision-making.

Work on data infrastructure and cloud ML projects to improve decision-making. Build and evaluate statistical and machine learning models, support experimentation and causal inference (A/B testing, Bayesian methods), optimize large-scale SQL queries, and collaborate cross-functionally to deploy ML solutions like bot detection and customer profiling.

Design and build scalable applications using Golang, including component development, data storage, performance optimization, testing, automation, and deployment. Collaborate with clients and distributed engineering teams to analyze requirements, deliver real-world solutions, and maintain high technical standards. Support source control, CI/CD, code reviews, and project execution in agile environments while contributing to secure, high-performance digital products.

Leads technology consulting projects involving data analysis, modeling, process mapping, database development, dashboards, and business intelligence solutions. Responsibilities include managing analysts and consultants, capturing client requirements, facilitating workshops, designing Azure and Microsoft data solutions, testing and assuring models, supporting decision-making, preparing project communications, and contributing to client pitches and business generation.

Own and evolve the People Systems roadmap, partnering with HR stakeholders and the HiBob vendor on system enhancements, documentation, automation, self-service, and AI-driven support. Coordinate HRIS activities for mergers and acquisitions, improve data and lifecycle processes, and support analytics, reporting, and continuous improvement. Serve as deputy to the People Systems Manager while collaborating with technical and non-technical stakeholders in a global environment.

Leads client-facing digital assurance and analytics consulting across infrastructure and real estate. Responsibilities include managing key accounts, delivering data-driven solutions, creating technical specifications, overseeing teams, developing client relationships, generating business, preparing proposals, and managing pursuits. The role requires expertise in programming, business intelligence, cloud technologies, data engineering, quality assurance, project controls, and digital transformation, along with commercial acumen and people management experience.