Top Python Jobs in Dublin

As a Software Engineering Intern, you will build scalable solutions, write production-ready code, and work with interdisciplinary teams.

Work directly with customer engineering teams to design, prototype, and deploy real-time audio, video, and voice AI applications on LiveKit. Design scalable architectures, build integrations and reference implementations, debug production issues, lead technical workshops, and translate customer needs into product insights. Contribute code and documentation to improve developer experience and support customers through launch and scaling.

Design, implement, and document advanced GNSS correction and user-positioning algorithms (PPP/RTK/SSR), lead cross-cutting technical projects, drive engineering best practices, mentor engineers, and own feature lifecycle from prototyping through production for Swift's Skylark corrections engine.

As a Senior Platform Engineer, you will architect multi-cloud infrastructures for AI-driven applications, focusing on automation, CI/CD pipelines, and stakeholder collaboration.

Partner with customer engineering teams to design, prototype, and deploy real-time audio, video, and voice AI applications on LiveKit. Build integrations and reference implementations, debug production systems, lead technical workshops, and translate customer needs into product and platform improvements.

Build and test AI-agent features and internal agent frameworks for a proactive cybersecurity platform. Implement and integrate generative AI systems (agents and RAG), stay current with AI research, and apply innovations to product development and evaluation within a security-focused environment.

Lead a team of cloud engineers to design, implement, secure, and optimize cloud-native landing zones on Azure and GCP. Own IaC (Terraform/Ansible), container orchestration (Kubernetes/Docker), CI/CD, monitoring, cost and security optimization, cross-functional integration, documentation, and mentoring.

Build and maintain backend API services for a decentralized exchange, design and implement trade routing logic for cross-chain swaps, optimize performance and reliability, collaborate with cross-functional teams, and troubleshoot trade execution and API issues.

Lead developer relations and growth by producing technical docs, tutorials, and code samples; represent the project at global events; engage and support developers on Discord/Telegram/GitHub; identify friction in onboarding and work with product to improve SDKs and docs; build partnerships with Web3 and AI projects to drive adoption.

Lead on-chain and off-chain market surveillance: detect and investigate manipulation (wash trading, spoofing, front-running), build statistical detection models, conduct transaction tracing, produce real-time dashboards and reports, and collaborate with engineering to automate and integrate advanced surveillance tools.

Join a trading desk after intensive training to manage daily positions, execute strategies, monitor real-time risk, collaborate with developers/quants to refine models and automation, back-test ideas, and provide competitive pricing and execution in high-frequency crypto markets.

Lead architecture and build a greenfield, white-label consumer engagement and rewards platform. Own backend, infra, mobile/web products, tokenised reward integrations, APIs, monitoring, and hire and scale the engineering team while ensuring production readiness and compliance.

Design, train, and improve computer-vision and generative ML models; handle end-to-end ML pipeline from data collection to deployment; prototype research ideas and convert successful prototypes into product-ready solutions; optimize models for efficient on-device inference and collaborate with product teams to integrate models.

The Data/BI Engineer will build and maintain data pipelines, create dashboards in Looker, and unlock insights from data to support business decisions.

Develop hardware architectures for SoC products, validate architectural choices, write specifications, and collaborate with engineering and customer-support teams.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

Own and architect the data layer for payment and AI-agent platforms: administer and optimize PostgreSQL databases, design backup/recovery and DR strategies, automate provisioning with Terraform, execute data migrations, build monitoring and alerts, mentor engineers, and drive performance, scalability, security, and high availability for production systems on AWS.

Own customer onboarding and implementations, integrate Stuut with ERPs (NetSuite, SAP, Salesforce), write production-quality code and automations, collaborate with Sales and Product, build documentation and internal tools, and travel to client sites to deploy solutions and gather product feedback.

Build and operate the network platform: set SLIs/SLOs, drive reliability improvements, own incident response and postmortems, develop observability and safer change workflows, automate operations, and collaborate with network and platform teams to embed operability.

Build and maintain services and tooling to automate and secure network lifecycle across data centers. Implement CI/CD, staged rollouts, drift detection, observability pipelines, and APIs that integrate network source-of-truth with the cloud platform. Collaborate with network engineers and SREs to turn operational pain into production-grade automation and tooling.

Develop and maintain an AI-driven pipeline to auto-generate, process, and publish real-life and digital quests. Integrate AI frameworks, design scalable automation workflows, analyze user data to improve generation quality, build API integrations, participate in architecture and documentation, test with pytest/unittest, and collaborate with cross-functional teams to validate LLM outputs against real-world data.

The Staff Software Engineer will lead technical direction, improving system design and mentoring others while writing code and collaborating across teams for a cloud-based generative coding platform.

Lead design and optimisation of multi-channel email and CRM journeys, monitor Marketo health, run experimentation across nurture streams, develop lead nurturing/scoring frameworks, and build scalable marketing automation workflows and integrations.

The role involves leading technical teams to develop high-quality software, mentoring engineers, and contributing to open source projects. Responsibilities include planning, execution, and enhancing the Linux user experience across various teams and technologies.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.