Top Backend Jobs in Dublin

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.

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.

Design, build, and maintain backend services and APIs for payment processing, ensuring reliability and scale while applying best practices in security and compliance.

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

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.

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

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.

Lead end-to-end projects for Pyroscope: design, build, and operate ingestion, storage, and query components of a distributed profiling database. Drive product decisions, own SLOs and cost targets, participate on-call, collaborate across Grafana teams, engage with customers and the open-source community, and improve operational excellence and adoption.

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, build and operate backend services in AWS for a multi-service hospitality platform. Implement new features, payment and EPOS integrations, improve performance, monitoring and deployment automation using TypeScript/Node.js and databases like Mongo Atlas, Postgres RDS or DynamoDB. Collaborate in a UK development team and automate infrastructure, CI/CD and QA.

Design, implement, test, and operate core backend services for an AI-native context management system: ingestion, indexing, retrieval APIs, multi-tenant SaaS architecture, agent-facing integrations, observability, and production reliability. Collaborate across product and infrastructure, iterate quickly, and drive technical direction for a new product area.

Lead backend engineering for Investor Services: design, develop, and deploy scalable Java-based systems; implement event-driven architectures with Apache Kafka; champion Docker and Kubernetes-based containerization and CI/CD; mentor developers, partner with stakeholders, and ensure compliance and risk-aware solutions for custody, fund accounting, and asset servicing clients.

Design, develop, and maintain highly scalable microservices and backends (Java/Spring) for millions of users. Collaborate with product owners, perform code reviews, respond to production incidents, mentor junior engineers, participate in team ceremonies, and potentially share on-call duties.

Design and build highly scalable microservice backends for millions of users, participate in code reviews and team ceremonies, support production incidents, and mentor junior engineers.

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.

Design, build, ship, and support backend services and end-to-end features focused on reliability, scalability, and performance. Debug production issues, write and debug SQL, follow testing best practices, collaborate in a remote team, participate in on-call, and contribute to architecture and roadmap decisions.

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.

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.

Architect and build core backend systems and APIs for a business-logic-heavy AI-native ERP. Deliver production-ready features end-to-end, including CI/CD, deployments, database schema and migrations, integrations with third-party systems, monitoring, and post-release care. Collaborate with product to translate complex finance workflows into secure, performant systems at scale.

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, build, and maintain scalable backend services that deliver ML-enriched product attributes and badges. Develop high-throughput, low-latency APIs and manage a dedicated database, CI/CD pipelines, observability, and tests. Collaborate with ML engineers and cross-functional teams to ensure reliability, performance, and availability for downstream systems and customer dashboards.

Design, deliver, and maintain high‑load real‑time recommendation web services. Implement IaC, CI/CD, observability, and stability testing. Collaborate with cross‑functional teams, integrate NoSQL/SQL and external services, and migrate features into distributed services.

Design, build, deploy, and maintain high-load, real-time ML-based ranking services and a Ranking Platform. Improve performance, feature delivery (feature store), CI/CD, and collaborate with DS, MLEs, and stakeholders.