Top Software Engineer Jobs in Dublin

Design, build, and maintain highly scalable backend microservices and orchestration layers for a SaaS security platform. Work with streaming platforms and cloud services, troubleshoot production issues, and collaborate on cross-team platform initiatives to ensure reliability and scalability.

The successful applicant will design, develop, and maintain automated tests for MongoDB's query engine. Responsibilities include collaborating on test coverage, documenting bugs, and enhancing the automation framework.

As a Software Engineer, you'll design and develop scalable systems, troubleshoot production issues, and collaborate with teams to enhance platforms for sports entertainment.

Build and maintain Atlas DevOps tooling and SDKs (primarily in Go) to automate cloud infrastructure and integrations (CloudFormation, CDK, Terraform, Vault). Design and ship integration components, support customers via Level 2 rotation, and collaborate across teams to scale SDKs and automation.

Join the MongoDB Server Query team to work on a distributed query engine, focusing on query performance, language enhancements, and feature development in a collaborative environment.

Design, build, and test software features for MongoDB products. Collaborate with cross-functional teams to deliver quality end-user features, balance delivery with R&D, and support users maintaining MongoDB deployments.

Seeking a Software Engineer to enhance MongoDB Atlas by developing observability tools, contributing to coding best practices, and collaborating with team members. Responsibilities include fixing production issues and engaging in technical discussions.

The Software Engineer 3 will enhance the MongoDB query engine, implementing and testing features related to performance, language enhancements, and integration, while coordinating with other teams.

Build scalable, resilient backend/cloud platform services for a no-code security app builder. Design event-driven, microservices-based systems, work with Kafka/Cassandra/Elasticsearch/Redis, troubleshoot production issues, and collaborate with product and engineering teams.

As a Site Reliability Engineer II at Klaviyo, you will ensure platform reliability and scalability, automate operational tasks, and improve systems through observability and collaboration with teams.

Design, build, and own features and services for Klaviyo's large-scale messaging platform. Drive performance, scalability, monitoring, and reliability for a pipeline that delivers hundreds of millions to billions of messages. Collaborate across teams, mentor engineers, and participate in hiring and technical process improvements.

Design and build scalable, production-grade agentic AI applications and platform capabilities. Apply AI and agentic patterns to improve developer productivity across the SDLC, build cloud-native services, automate PDLC/CI-CD workflows, and partner with product and data science to deliver secure, reliable, production AI solutions.

Design and build production-grade, AI-enabled and agentic applications and platform capabilities. Apply agent orchestration, prompt/context management, and AI tooling to improve developer productivity. Build cloud-native services with reliability, observability, security, and CI/CD. Partner with product, data science, and engineering to move prototypes to production and drive platform-level engineering improvements.

Design, build, and maintain automated test frameworks and CI-integrated pipelines for RESTful APIs and microservices. Implement API/integration tests (REST Assured, Playwright, Cucumber), triage failures, perform exploratory testing, and collaborate with feature teams to ensure production-ready releases.

Design, build, and maintain automated API and integration test frameworks. Integrate tests into CI/CD pipelines, validate RESTful endpoints, triage failures, perform exploratory testing, and collaborate with engineers to ensure reliable, production-ready releases.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-assisted workflows, CI/CD, automation, and observability. Collaborate with product, data science, and engineering teams to move AI solutions from prototype to production while ensuring security, reliability, and maintainability.

Design, build, and maintain automated API and integration test frameworks using Java/JavaScript, REST Assured, Playwright, and Cucumber. Integrate tests into Jenkins CI/CD, validate RESTful APIs across HTTP interactions, perform exploratory/manual testing, triage failures with developers, and contribute shared automation tooling and best practices.

Design, build, and productionize scalable AI and agentic applications and platform capabilities. Apply agent orchestration, prompt/context management, RAG, inference APIs, and AI tooling to improve developer productivity. Deliver cloud-native services using Kubernetes and managed AWS/Azure services, ensuring reliability, observability, security, and maintainability. Partner with product, data science, and engineering teams to translate ideas into production-grade solutions and drive technical innovation.

Design, build, and maintain automated API and integration test frameworks using Java/JavaScript, REST Assured, Playwright, and Cucumber. Integrate tests into Jenkins CI/CD pipelines, validate RESTful APIs and microservices, perform exploratory testing, triage failures, and collaborate with feature teams to ensure production-ready releases.

Design, build, and maintain automated test frameworks and pipelines for RESTful APIs and distributed services. Implement API/integration tests with REST Assured, Playwright, and Cucumber; integrate tests into Jenkins CI/CD; perform exploratory/manual testing; triage defects; collaborate with feature teams to ensure production-ready releases.

Design and build production-grade, AI-enabled and agentic applications and platforms. Apply agent orchestration and generative-AI patterns to improve developer productivity, reliability, and observability. Partner with product, data science, and engineering teams to take prototypes to production, automate PDLC/SDLC, and evaluate emerging tools while maintaining security, performance, and governance.

Designs, builds, and maintains automated test frameworks and CI/CD-integrated tests for RESTful APIs and microservices. Owns test strategies, implements API/integration automation using Java/JavaScript, REST Assured, Playwright, and Cucumber, triages failures, and performs exploratory testing to ensure production-ready releases.

Design and build scalable, production-grade AI and agentic applications and developer platforms. Apply agentic patterns and AI tooling to improve engineering productivity, productionize AI solutions, and drive automation, CI/CD, reliability, and governance across the software development lifecycle.

Design and build production-grade AI and agentic applications and platform capabilities. Apply agentic patterns to improve engineering productivity, productionize AI solutions, implement CI/CD and automation, ensure reliability, security, and observability, and partner across product, data science, and engineering to deliver scalable developer-facing tooling and services.

Design and build scalable, production-grade AI and agentic applications and platforms. Apply agentic patterns and AI tooling to improve developer productivity, CI/CD, testing, reliability, and security. Partner with product, data science, and engineering to take prototypes to production and evaluate emerging tools.