Top Backend Jobs in Dublin

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, 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.

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.

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 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, 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 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.

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, 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.

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, 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.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

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.

Design, build, test, and operate backend services and platform infrastructure used by internal and external Stripe customers. Collaborate on roadmaps, debug production across stacks, and deliver reliable, scalable distributed systems.

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

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 corporate card issuance, integrate with banking systems, and improve system performance while collaborating with cross-functional teams.

Administer, monitor, and support Java applications and Genesys Cloud. Provide production troubleshooting, minor bug fixes and enhancements, and act as primary POC for Java apps. Develop/support microservices using Java and Spring Boot, perform analysis of system behavior, and apply problem-solving and diagnostics to maintain service quality.

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.

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.

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.

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