Top Backend Jobs in Dublin

Design, build, and deliver scalable, secure backend services and payment features. Lead technical design, coach engineers, implement automated tests, deploy features, monitor success, and collaborate cross-functionally on API and payments solutions.

Design, build, and maintain highly scalable backend microservices and orchestration layers for a SaaS security platform. Work with streaming platforms and cloud services, troubleshoot production issues, and collaborate on cross-team platform initiatives to ensure reliability and scalability.

As a Staff Engineer for Revenue, you'll shape technical vision and architecture for billing and pricing systems, ensuring correctness while enhancing cross-team collaboration.

As a Senior Backend Engineer at DuckDuckGo, you'll lead backend projects, mentor engineers, and develop AI-enhanced features for the company's privacy-centric product line.

As a Senior Backend Engineer, you will develop scalable AI integrations and tools, collaborate with teams, and enhance the AI platform at Contentful.

As a Senior Product Engineer (Backend), you'll design and develop APIs and SDKs for embedded insurance and retirement benefits, focusing on system architecture, incident response, and enhancing developer experiences.

As a Backend Product Engineer, you'll design APIs and SDKs for embedded insurance, enhance developer experience, and collaborate with cross-functional teams while growing into a senior role.

As a Backend Engineer, you will design and implement scalable backend services, develop API interfaces, enhance security, and collaborate across teams to build integrated solutions.

As a Senior Software Engineer, you will innovate and maintain Contentful's content storage infrastructure, ensuring scalability and performance. Responsibilities include designing and developing backend services, collaborating with teams, and identifying operational risks.

Architect and build eBay's global GraphQL Federation platform, designing high-performance federated architectures (Apollo/WunderGraph), scaling gateways and tooling, optimizing queries and caching, enforcing AuthN/AuthZ and rate limiting, and driving observability and developer experience across distributed services.

The Software Engineer will develop backend systems using Rust, manage multimodal data, and improve data infrastructure with a focus on performance and design ownership.

Design, build, and operate scalable, secure backend systems powering subscriptions, billing, entitlements, pricing, and promotions. Own monetization funnel reliability and performance, ensure compliance and correctness, enable experimentation via feature flags and analytics, and partner with Data to instrument reporting and detect and resolve revenue-impacting incidents.

Develop fault-tolerant cloud services, manage databases and Kubernetes, and collaborate in a team-oriented environment. Experienced in Golang is required.

As a Backend Engineer, you will design scalable APIs, create Engineering Requirement Documents, and build test suites for product analytics and performance.

Design, build, and support features for a monetization platform while ensuring reliability and performance as a senior backend engineer.

The Staff Backend Engineer will own the Economic Core of Voyagu's Radar platform, focusing on financial systems architecture and ensuring revenue correctness and financial logic implementation across the system.

Join the Grafana Backend Services squad to design, build, operate, and iterate backend APIs and tooling for both Cloud and On‑Prem customers. Deliver features end-to-end, participate in on‑call rotations, mentor engineers, contribute to design docs and open-source, and collaborate across squads to improve developer and user experience at scale.

Build and maintain backend APIs, tools, and integrations; design and operationalize agentic/automation and AI-driven workflows; contribute to CI/CD deployments, debugging, code reviews, mentoring, cross-team initiatives, and platform improvements to ensure secure, reliable, and scalable production systems.

Build and maintain backend tools, APIs and integrations for HR/payroll products. Lead team projects, design and operationalize agentic/automation workflows, ensure reliability and scalability, participate in code reviews, mentor engineers, and implement verification loops for secure, tested deployments.

Build and maintain backend services, APIs, and integrations; design and implement agentic/automation workflows with verification loops; ship secure, reliable, scalable production systems; participate in cross-team initiatives, code reviews, mentoring, and platform improvements; contribute to CI/CD-driven deployments and operationalization of AI-driven automation.

Build and maintain backend tools, APIs and integrations; design, implement and operationalize agentic/automation workflows with verification loops; ship secure, reliable, scalable production systems; participate in cross-team initiatives, code reviews, support rotations, and mentoring; propose and implement platform improvements.

Lead development of backend tools, APIs and integrations; design and ship secure, reliable, scalable production systems; propose and implement agentic/automation workflows; mentor engineers; participate in code reviews, support rotations, RFCs and cross-team initiatives; instrument verification and build reusable automation primitives with tests and guardrails.

Design, implement, and maintain backend services and APIs for real-time and batch decisioning; integrate ML/LLM-driven components (inference, feature computation, policy orchestration); productionize models with data scientists; enable safe deployment (A/B, canary); extend rules/config framework for non-developer policy authoring; collaborate with product and partner teams; participate in code reviews, architecture, and on-call ownership.

The role involves leading the mk8s Core Team, managing technical projects, coaching engineers, and participating in hands-on coding and incident response.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.