Top Full Stack Developer Jobs in Dublin

Leads full-stack software engineering for employee workforce technology platforms. Responsibilities include designing, developing, testing, reviewing, and operationalizing secure, scalable production software; guiding engineers, contractors, and vendors; promoting automated testing and secure coding; and governing responsible AI-assisted development. The role influences product design, technical operations, engineering standards, reusable frameworks, and automation while coaching senior engineers and serving as a technical subject matter expert.

Leads development of major software features and complex solutions, provides technical guidance to junior engineers, drives architecture and system design decisions, collaborates across teams, improves engineering processes, and applies advanced debugging, optimization, CI/CD, licensing, and software lifecycle management practices.

Designs, develops, tests, and supports scalable enterprise applications and services for Fidelity’s workplace investing platforms. The role emphasizes Angular and TypeScript front-end development, REST API integration, Java/Spring services, CI/CD, AWS, automated testing, observability, production support, and root cause analysis. The engineer contributes to technical design, code reviews, planning, delivery, mentoring, and continuous improvement while collaborating with product, architecture, analysis, and quality teams.

Staff Full Stack Engineer responsible for architecting and building integration-heavy, event-driven systems for renewable energy products. The role focuses on backend development with Python and AWS serverless technologies, while contributing to React and TypeScript frontend work. Responsibilities include integrating pricing, tendering, data, billing, and risk systems; automating commercial workflows; delivering new product categories; solving ambiguous technical problems; and maintaining high standards for testing, documentation, and code quality.

Guide customers through onboarding, deployment, adoption, and optimization of Microsoft cloud solutions. Provide consultative technical guidance across Microsoft 365, Security, Endpoint, Copilot, Identity, Purview, and Data Protection workloads. Remove deployment blockers, mitigate risks, accelerate time-to-value, collaborate with engineering and partners, create reusable delivery guidance, and advocate for customer needs.

Own and develop Beautiful Destinations’ production Content Operating System. Build FastAPI services, React front ends, PostgreSQL integrations, and Cloud Run deployments. Manage sprint commitments from scoping through release, monitor reliability, respond to incidents, make architecture decisions, and control technical debt. Work daily with AI coding agents and collaborate with an AI Developer on shared infrastructure and AI-powered products in a remote, asynchronous European team.

Lead architecture and implementation of scalable full-stack features using NestJS and Next.js, integrate LangChain-driven AI, manage PostgreSQL schemas and performance, build responsive UIs with Tailwind CSS, implement authentication with Clerk, and ensure reliability with Puppeteer-based testing and automation.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Builds software solutions for end users as a general full-stack engineer. The role emphasizes collaboration, ownership, accountability, fast-paced execution, adaptability, multitasking, rapid learning, and an ambitious, outcome-driven approach.

Build and maintain single-page analytics applications using TypeScript, React, D3.js, and C#. Develop APIs, CI/CD pipelines, and cloud-based solutions while contributing to design, testing, documentation, and incident support. Collaborate with product and delivery stakeholders in Agile teams, support QA, resolve application issues, and mentor junior developers. The role is hybrid in Dublin and may include some people management responsibilities.

Own bespoke client projects end to end, from scoping and API design through UI, backend development, release, and production support. Build polished interactive tools, generative AI products, and client-embedded experiences using modern full-stack technologies. Collaborate closely with designers, improve reusable products, establish safe AI-assisted development practices, and contribute through code review, mentoring, documentation, hiring, and technical leadership.

Build and optimize ZOE’s customer-facing website using TypeScript, React, and Next.js, with a strong focus on accessibility, performance, responsive design, and design-system development. Collaborate with designers, analysts, and product teams on user experiences and A/B testing. Contribute to backend services using Kotlin or Python, support API development, write maintainable code, and ship production improvements regularly.

Build and scale Base360.ai’s short-term rental platform across frontend, backend, integrations, automation, dashboards, and AI-powered workflows. Work directly with customers, founders, and designers to identify problems, ship end-to-end solutions, and improve product outcomes. Develop reliable APIs, event-driven automations, cloud infrastructure, and integrations with Airbnb, Stripe, Twilio, OpenAI, and other platforms. Own features from discovery through deployment while balancing usability, security, scalability, and maintainability.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Design, develop, test, and maintain scalable backend applications, SDKs, and tools for AI Security solutions. Build RESTful APIs and multi-service systems, optimize performance and reliability, troubleshoot production issues, and collaborate with product, QA, frontend, and data science teams. Apply secure coding and modern architecture practices while contributing to cloud-native deployments, testing, and continuous delivery improvements.

Build, test, maintain, and deploy scalable web applications using Node.js and React. Develop RESTful APIs, integrate third-party services, collaborate with product, design, and QA teams, participate in code reviews, optimize performance, and support production issues. The role requires strong JavaScript, web development, authentication, API security, version control, and database experience.

Own end-to-end development of scalable Boards features, from database and backend services through responsive web interfaces. Design microservices, APIs, and data flows; collaborate with product, design, stakeholders, and applied science teams; support experimentation and A/B testing; improve CI/CD, testing, performance, observability, and operational excellence; and mentor junior and mid-level engineers.

Build and maintain Laravel and PHP production systems while contributing to React customer-facing features. Investigate production issues, design reliable queues and webhook systems, manage retries and rate limits, maintain third-party integrations, improve database and backend performance, and develop dashboards, tests, API documentation, SDKs, and developer tools. The role requires independent ownership, strong debugging skills, reliable asynchronous systems design, and accurate customer data handling.

Build and own software services and platforms supporting payments, risk management, merchant experiences, and financial infrastructure. Develop APIs, user-facing experiences, and scalable systems while collaborating with engineers, designers, and product managers. Contribute to architecture, analyze experiment results, uphold engineering standards, and solve complex problems across varied technologies and codebases.

Build and maintain backend services, APIs, data schemas, and scalable full-stack features for a multi-tenant SaaS cash forecasting platform. Own PostgreSQL data integrity and query performance, testing with RSpec, Docker deployments, AWS infrastructure, automation, observability, and performance optimization. Collaborate with product, design, and engineering teams, participate in code reviews and technical design, and join the on-call rotation.

Own the AI cost visibility product end to end, developing Go backend services, APIs, data processing, and TypeScript/React interfaces. Translate AI spending data into clear FinOps experiences, work closely with customers and product needs, and use AI throughout the engineering workflow. Lead feature design, implementation, release, monitoring, and iteration while setting engineering standards, mentoring peers, and building scalable cloud-based SaaS capabilities.

Own the AI cost visibility product end-to-end, building Go backend services, APIs, and TypeScript/React interfaces. Translate cloud AI spend and usage data into clear FinOps experiences, while driving architecture, reliability, monitoring, and iteration. Collaborate closely with customers and product stakeholders, use AI throughout the engineering workflow, mentor peers, and shape product direction in an ambiguous market.

Own AI cost visibility features end-to-end, from customer problem discovery and system design through implementation, release, monitoring, and iteration. Build scalable Go backend services, APIs, and TypeScript/React interfaces that process and present cloud AI spend data. Apply AI throughout the engineering workflow, contribute to product direction, understand FinOps and AI economics, mentor peers, and uphold reliable engineering practices.