Top Python Jobs in Dublin

The Senior Ubuntu Embedded IoT System Engineer will enhance Ubuntu for OEMs and ODMs, work with partners on platform bring up, debug critical problems, and facilitate communication between teams. They will also conduct root cause analysis and travel internationally for company events.

As an IoT/Data Platform Engineer, you will architect scalable APIs, develop data governance systems, and collaborate with a global team to enhance SaaS services for IoT devices.

Manage and lead software engineering teams, design engineering solutions with Python and Go, improve processes, and collaborate with business teams.

The Principal Scientist will lead R&D in quantum algorithms, manage a team, and collaborate on product development at Horizon Quantum.

The Storage Engineer will design and optimize storage solutions, troubleshoot systems, drive improvements, and ensure secure storage practices across global teams.

Seeking a Senior Full Stack Engineer to develop and maintain core products for Fidelity's Investment organization, collaborating with global teams.

Lead and mentor a software development team, establish standards, manage projects, and collaborate with stakeholders for a distributed compute system.

As a Senior Full Stack Engineer, you will design, implement, and deliver cloud-based solutions, collaborating with various teams to meet customer needs while adhering to best practices.

The MLOps Field Engineer designs and implements AI/ML solutions for clients, focusing on customer engagements and cloud infrastructure using various technologies.

The Design Verification Engineer will plan tests, develop verification strategies, and work with design engineers to ensure product specifications are met pre-silicon.

The Senior Database Engineer at eBay is responsible for architecting and maintaining a large-scale PostgreSQL database infrastructure, focusing on performance optimization, high availability, and security while collaborating with engineering teams to develop new tools and systems.

You will design and build scalable, observable LLM-powered backend services, integrate observability tools, and collaborate with data scientists to improve ML workflows.

The Staff Software Engineer will architect and scale cloud inference systems, optimize performance, and implement safety measures for AI models, collaborating with external partners.

The Performance Development Engineer will conduct cloud-based performance evaluations, develop CI/CD pipelines, and ensure software architecture performance and reliability.

The kdb+ Engineer will support growth by leveraging kdb+ technology for data capture and platform analysis, collaborating with clients and stakeholders.

Design and enhance data architecture for real-time and batch processing, implementing automated data pipelines, data semantics management, and optimizing data consumption in a cloud environment.

Lead the development of DVC products, engage with the ML community, drive coding efforts, and collaborate on technical specifications and features.