Top Backend Jobs in Dublin

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.

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.

The Senior Back End Engineer will lead the development of a Sportsbook platform, design software solutions, improve system performance, and manage the development lifecycle.

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.

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.

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.

Design and build backend services for corporate card issuance, integrate with banking systems, and improve system performance while collaborating with cross-functional teams.

As a Backend Software Engineer, you'll design scalable backend systems, optimize database performance, and collaborate with front-end and DevOps teams.

Design and build backend services for a multi-tenant cashier system, integrating with blockchain networks and ensuring scalability and security in a financial context.

Build and maintain Extensions backend for enterprise LTM products: design distributed, reproducible, observable workflows; optimize latency and throughput; collaborate with data scientists; drive architectural decisions; write high-quality, tested Python code; and document best practices for production-scale deployments.

The Backend Engineer will implement new SDK and Indexer features, automate testing, support integration, and oversee production releases.

Lead design, develop, and maintain Piktochart's backend systems for scalability, performance, and security. Collaborate with product, design, and frontend teams, optimize databases and queries, conduct code reviews, evaluate new technologies, and mentor developers while integrating AI agents and improving CI/CD and cloud infrastructure.

Own end-to-end features across a React client and Python monolithic backend for an enterprise AI video SaaS. Lead multi-month projects, collaborate with product, measure impact via data pipelines, manage safe releases, and help shape long-term engineering direction.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.