Top Python Jobs in Dublin

The Sr. Cybersecurity Engineer will assess system architecture, guide security decisions, and support M&A integration with a focus on secure software deployment.

As a Solutions Support Engineer, you'll provide technical support, troubleshoot customer issues, and design solutions for effective support automation.

As a Kubernetes Systems Engineer, you will manage and enhance Kubernetes clusters, improve developer experience, and collaborate on infrastructure issues.

The POC Engineer will design and execute network topologies and tests to showcase Arista's solutions, collaborate with clients, innovate testing tools, and produce reports.

Manage blockchain nodes by designing, implementing, and maintaining scalable infrastructure. Requires IaC expertise, DevOps practices, and observability skills.

As a Rust Engineer in the Market Making Services team, you'll develop low-latency trading systems, enhance trading strategies, and improve infrastructure performance in a remote environment.

As a Platform Engineer, you'll manage Ubuntu-Linux distributions, optimize ROS 2 middleware, develop driver components, and ensure system reliability and performance for autonomous vehicles.

Develop and maintain AI applications, integrate LLMs, design front-end interfaces, apply MLOps practices, and support junior members while ensuring compliance with regulations.

Lead the Core Network Engineering Team to develop global backbone infrastructure, automate tasks using Python and Ansible, and ensure network reliability.

The Network Engineer will architect and maintain peering and transit infrastructure, automate tasks using Python, and troubleshoot network issues.

As a Go Software Engineer for Identity Management, you will design, implement, and enhance identity management solutions, collaborate with a distributed team, and contribute to the development of authentication and authorization systems.

Provide L2/L3 IT support, manage Azure services, corporate network devices, Active Directory, and cloud infrastructure, ensuring reliable IT Security systems while collaborating in a global team.

The Enterprise Applications Engineer will administer and improve Atlassian Cloud applications, manage workflows and integrations, and support user training and system governance.

The Analytics Engineer will architect and maintain Rollstack's data stack, build data pipelines, normalize data, and support analytics for product and GTM teams.

The Lead Software Engineer will provide technical design, maintain the technical roadmap, document architectures, code, conduct reviews, mentor engineers, and support recruitment efforts.

Design, develop, and implement Oracle BRM solutions. Collaborate with teams, evaluate systems, and create custom components based on customer needs.

The Software Engineer will lead the architecture and development of Twilio's observability platform, focusing on telemetry systems integration and scalability, while mentoring teams and ensuring alignment with architectural goals.

The Support Software Engineer is responsible for designing, building, and maintaining billing and invoicing systems, transitioning from support to software engineering roles, troubleshooting issues, and collaborating with stakeholders.

As a Support Software Engineer, you will design, build, and maintain billing systems, troubleshoot discrepancies, and automate processes to improve efficiency while collaborating with business stakeholders.

The Support Software Engineer will design, build, and maintain critical billing systems, troubleshoot discrepancies, and automate processes while collaborating with business stakeholders.

You will develop high-quality cross-platform C++ code, design application architecture, ensure test coverage, mentor team members, and contribute to the release process.

The Technical Business Analyst will analyze requirements, design automation solutions, document user criteria, and ensure efficient operations in a collaborative environment.

In Marketplace Operations, you will enhance operational processes such as hiring and quality control, build data pipelines, and collaborate with teams to improve efficiency.

As a Senior Data Scientist, you'll lead data science projects, collaborate across teams, communicate findings, and drive innovation using machine learning and data analysis.

The Staff Machine Learning Scientist will define ML features, mentor engineers, research algorithms, and develop prototypes, focusing on customer value.