Top Backend Jobs in Dublin

As a Senior II Backend Engineer, you'll design and implement systems for data governance and privacy, lead technical projects, and mentor engineers while delivering high-quality features for enterprise clients.

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.

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.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

Build and own the speech and voice generation platform: backend orchestration for multiple TTS providers, voice discovery and recommendation systems, and frontend preview experiences. Scope and ship 0-to-1 features, iterate via experiments and feature flags, ensure reliability and quality across providers, and collaborate with product, design, and AI teams to measure and improve outcomes.

Develop and maintain backend systems, design APIs, modernize legacy platforms, and support production deployments as a Backend Engineer.

Design and develop core backend components for a blockchain network using Rust, ensuring reliability and scalability in production-grade software.

Responsible for building scalable distributed systems, mentoring teammates, innovating on technical solutions, and improving team processes. Requires expertise in backend languages, especially Golang and Typescript.

Lead backend feature implementation for a healthcare AI SaaS: design and deliver scalable Python services, optimize data storage, manage cloud infrastructure and message queues, build and secure high-performance APIs, integrate third-party systems, and collaborate with frontend and AI teams to ship production-grade, tested systems.

Develop and enhance functionalities for a climate tech platform, engaging with product teams and improving team culture.

Design, develop, and maintain backend services and APIs for the IAM platform. Collaborate to build features that meet security standards and optimize performance.

Design and develop backend services for the IAM platform, focus on performance and scalability, collaborate with teams, optimize security, and stay current with industry trends.

Nango is hiring Senior and Staff Backend Engineers to design, build, and optimize backend systems and APIs, collaborating with customers and driving product strategy.

Take end-to-end ownership of backend features and SaaS services in a microservices architecture. Design, implement, deploy, and operate scalable, reliable Node.js services. Work with Redis Streams, MongoDB, Kubernetes, and ensure test coverage, performance tuning, and collaboration with cross-functional teams.

Build, operate, and own high-scale backend services focused on networking, performance, reliability, and security. Design systems, implement features, troubleshoot protocol-level networking issues, write maintainable tests, and collaborate across teams.

Develop, maintain, and improve backend systems by designing and implementing PHP-based software, integrating components and third-party tools, writing clean code, deploying and verifying systems, and producing technical documentation while collaborating with cross-functional teams.

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.

Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.

Design, build, test, deploy and operate high-throughput backend services in Java on AWS. Own services end-to-end (APIs, events/streams, storage), ensure scalability, stability, observability and security, participate in on-call and incident response, collaborate cross-functionally, mentor engineers, and deliver features from discovery to GA.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

Design, develop, and maintain large-scale distributed cloud services for iTero systems. Collaborate with cross-functional teams, apply backend engineering best practices, and deliver reliable, customer-focused solutions on schedule. Continuously learn new technologies and contribute independently and as part of a team.

Design, develop, and optimize high-performance Java backend systems. Contribute to architecture, implement core modules, troubleshoot production issues, perform code reviews, and improve scalability, availability, and reliability of distributed financial or blockchain systems.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.