Top Python Jobs in Dublin

The Senior DevOps Engineer will manage cloud infrastructure, implement automation tools, and mentor developers while ensuring best practices in DevOps methodologies.

Design, build, and maintain scalable ETL/ELT pipelines and data integrations to consolidate, transform, and prepare large datasets for analytics and ML. Enforce best practices, data governance, monitoring, and support while collaborating with business and analytics teams to improve data quality and enable insight-driven decisions.

The Quantitative Strategist role involves building predictive models, developing trading strategies, analyzing risks, and automating research tasks in a collaborative financial firm environment.

The role involves developing and managing distributed storage systems, ensuring reliability, and optimizing infrastructure performance. Responsibilities include defining SLOs and participating in an on-call rotation.

Lead Site Reliability/DevOps engineer responsible for designing, building, and scaling AWS infrastructure, implementing IaC (Terraform/CloudFormation/Ansible), managing EKS/Kubernetes, improving availability with monitoring (Prometheus), automating CI/CD (Jenkins/Argo CD), mentoring team members, troubleshooting production issues, and developing custom tooling in Go/Python/Rust/Bash.

Lead SRE/DevOps engineer to design, build, and scale AWS cloud infrastructure, automate IaC, improve availability and monitoring (Prometheus), manage Kubernetes/EKS, mentor team members, and develop tooling in Go/Python/Rust/Bash.

Lead Site Reliability/DevOps engineer to design, build, and scale AWS cloud infrastructure and Kubernetes (EKS). Own IaC (Terraform/CloudFormation/Argo CD), CI/CD (Jenkins), monitoring (Prometheus), security and availability, automation (Ansible/Chef), troubleshooting, mentorship, and on-call support. Write and maintain tooling in Go/Python/Bash and improve platform reliability, performance, and deployment automation.

Lead SRE/DevOps engineer to design, build, and scale AWS infrastructure (IaC), manage Kubernetes/EKS, implement CI/CD, monitoring (Prometheus), improve availability, mentor team members, troubleshoot production, and write automation tools in Go/Python/Rust/Bash.

Lead SRE/DevOps engineer to design, build, and scale AWS infrastructure, implement IaC, manage Kubernetes (EKS), improve availability and monitoring (Prometheus), mentor teammates, automate CI/CD, troubleshoot performance and security, and build custom tooling in Go/Python/Bash.

Lead SRE/DevOps engineer responsible for designing, building, and scaling highly available AWS infrastructure. Mentor team members, implement IaC (Terraform, CloudFormation), CI/CD (Jenkins, Argo CD), Kubernetes/EKS clusters, observability with Prometheus, security and networking (VPC, Direct Connect, Transit Gateway), troubleshooting, on-call rotations, and develop automation/tools in Go/Python/Bash.

Lead and mentor a geo-diverse SRE/DevOps team to design, build, and scale highly available AWS infrastructure. Implement Infrastructure as Code, cloud networking, EKS/Kubernetes clusters, monitoring (Prometheus), CI/CD, security controls, automation, on-call support, and tooling in Go/Python/Bash to improve availability and deployment velocity.

Lead SRE/DevOps engineer to design, build, and scale AWS cloud infrastructure, automate deployments (IaC, CI/CD), improve security and availability, run and tune Kubernetes/EKS and container platforms, develop monitoring with Prometheus, mentor team members, participate in on-call, and build tooling in Go/Python/Rust/Bash.

Lead SRE/DevOps engineer to design, build, and scale AWS cloud infrastructure, automate deployments (IaC), improve availability and monitoring, mentor engineers, run on-call, and develop tooling (Go/Python/Bash) for reliability and performance.

Lead Site Reliability/DevOps engineer to design, build, and scale AWS cloud infrastructure. Implement Infrastructure-as-Code, CI/CD, Kubernetes (EKS) clusters, monitoring with Prometheus, security and networking, mentor team members, participate on-call rotations, and develop automation tooling in Go/Python/Bash.

Lead hands-on design and delivery of scalable cloud-based data platforms and Lakehouse solutions, build high-volume batch and streaming pipelines, define standards for data modeling, quality, lineage, security, and observability, create reusable patterns, mentor engineers, and partner with product, AI, security, and governance stakeholders to enable analytics and AI use cases.

Design and deploy machine learning models (matchmaking, skill rating, recommender systems). Develop representation learning for player behavior, evaluate state-of-the-art methods, translate product problems into ML tasks, lead technical discussions, and collaborate with engineers to integrate models into production.

Design, build, and operate enterprise-scale infrastructure platforms; write and review production code; own reliability, performance, security, and cost; run on-call rotations and respond to incidents; use AI-native engineering practices to accelerate development and automation; collaborate on technical decisions and decompose ambiguous problems into production-ready systems.

Design and deliver AI-powered experiences for Datadog Notebooks. Build reliable backend services integrating LLMs and AI agents, manage model nondeterminism with evaluation/testing frameworks, partner with product/design, provide technical leadership, and operate production systems (on-call).

The Senior Technical Support Engineer will provide expert support for Circle's API products, resolve technical issues, manage escalations, improve support processes, and contribute to the team’s goals for customer experience and operational excellence.

Embed with enterprise customers to design, build, and deploy production-ready integrations, custom agents, automations, and data pipelines. Lead technical discovery, migrations, troubleshooting, and operationalization while translating customer needs into scalable engineering solutions and reusable delivery assets.

As a Quantitative Researcher, you will develop trading strategies, implement mathematical models, analyze data, and contribute to high-level research in a trading environment.

Conduct original research applying machine learning, deep learning, and NLP to extract patterns from large and unstructured datasets; implement and back-test algorithms in high-quality code; document findings and collaborate with trading teams to deploy research-driven models.

As a Senior Data Scientist, you'll analyze complex healthcare datasets, apply advanced analytics, and collaborate to improve patient outcomes and operational efficiency.

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.

Lead investigations and incident response using SIEM and SOAR, design detection alerts, perform threat hunting across endpoints, network, application and logs, analyze compromises and malware, build playbooks and security tools, share findings to improve product/security posture, and mentor junior team members.