Top Software Engineer Jobs in Dublin

Develop and enhance front-end, server-side, and database applications, focusing on blockchain products while ensuring high performance and security.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

The Senior Software Engineer will design, build, and optimize backend services and Kubernetes operators on multi-cloud platforms, focusing on infrastructure solutions and automation.

Owner of test strategy and execution within a Scrum team: clarify requirements, design and run manual and automated Web/Mobile/API tests, reduce flakiness, mentor junior QA, log and close defects, and collaborate with Product and Engineering to ensure production-quality releases.

As a Senior Software Engineer, you will develop and manage a MongoDB solution on various platforms, ensuring reliability and security while contributing to a small team focused on impactful projects.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Embed with Mimir, Loki, and Tempo squads to own production reliability for high-SLA Grafana Cloud database customers. Design SLOs, build automation to scale reliability, reduce SLO burn, lead incident response and post-incident reviews, improve observability and alerting, mentor engineers, influence product design for operability, and drive toil elimination and scalable operational practices across multi-cloud, multi-tenant environments.

Lead architecture and reliability for a distributed, real-time product platform. Own system design, incident response, infrastructure (AWS, Terraform, Kubernetes), observability, CI/CD quality gates, and documentation to enable safe agent-assisted development across squads.

Design, build, and maintain cloud infrastructure and DevOps tooling; own CI/CD and Infrastructure-as-Code; support microservices and application delivery; contribute to Java/Spring Boot code; improve monitoring, security, automation, reliability, and developer experience.

Lead the design and development of complex Rails features, mentor junior engineers, define technical direction, and ensure high-quality code while collaborating with stakeholders.

Lead the technical direction and hands-on development of Coder’s agentic engineering systems. Build production software in Go, with React and TypeScript as needed, and evolve agent execution, tool use, context management, streaming, and long-running workflows. Make architectural decisions, lead complex projects, improve reliability and performance, collaborate with Product and Design, and mentor engineers. The role requires distributed systems expertise, LLM and agentic workflow experience, and familiarity with AWS and cloud-native infrastructure.

Build and improve Restream’s web interfaces and user-facing features for the AI Clips team. Design UI and business logic, collaborate with product designers, participate in code reviews, improve system reliability, and evaluate emerging technologies. The role requires strong JavaScript and TypeScript expertise, advanced React knowledge, CSS preprocessor experience, and familiarity with backend development, cloud infrastructure, containers, and continuous deployment.

Lead technical work enabling global-ready products: act as technical stakeholder, define roadmaps, remove major technical blockers, write and review high-quality tested code, mentor engineers, simplify abstractions, and collaborate across distributed teams to deliver scalable web/SaaS solutions.

Design, build, and operate core billing platform services and REST APIs at scale. Implement new features and services, ensure reliability and observability, troubleshoot production issues, own microservices and infrastructure lifecycle, collaborate with product and stakeholders, and follow full SDLC with documentation and testable code.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Execute scheduled, ad hoc, and release-milestone software tests; review test cases; report defects in issue-tracking systems; communicate status in standups; and collaborate with software test managers and development teams. The role requires knowledge of QA methodologies, black-box, grey-box, and white-box testing, strong communication and organization, independent and team-based work, and participation in planning and professional meetings.

Lead architectural and code-level performance engineering for Elasticsearch, from design through production. Develop performance models, profile distributed systems, identify bottlenecks, optimize stateful and serverless architectures, and build benchmarking and regression-detection automation. Drive AI-assisted optimization tooling, collaborate across teams, and mentor engineers. Focus areas include Java and JVM performance, concurrency, distributed systems, logging, metrics, vector search, ES|QL, storage engines, and scalable search infrastructure.

Design, implement, and maintain scalable full-stack healthcare software. Balance legacy maintenance and greenfield projects, troubleshoot defects, collaborate with cross-functional teams, produce documentation, influence tooling/processes, and support global replatforming and expansion.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Lead quality strategy and test automation for personalization, recommendation, experimentation and consumer intelligence. Build and maintain automated test frameworks (API, integration, contract, E2E), integrate quality into CI/CD, validate ML-driven outputs and consumer journeys, manage test data/environments, and coach engineers to improve release reliability and engineering quality.

Design, build, and maintain production-grade microservices and web applications to power personalization and recommendations. Implement model-serving and inference integrations, ensure resiliency, observability, and low-latency performance, work with event-driven and caching patterns, collaborate with AI/ML and data teams, drive technical designs, mentor engineers, and operationalize services for production readiness.