Top Software Engineer Jobs in Dublin

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.

As a Principal Software Engineer, you will lead full-stack design of AI solutions, drive architecture, mentor engineers, and collaborate across teams to solve complex problems at Toast.

The Staff Software Engineer will design and develop frontend experiences for retail, collaborating with cross-functional teams and mentoring others while ensuring high-quality, scalable features.

Design and build automated data migration solutions at cloud scale for MongoDB Atlas. Collaborate with teams to enhance features, solve technical challenges, and mentor others.

The Senior Software Engineer will develop observability tools for MongoDB, enhancing user insight into database performance and reliability while tackling large-scale system challenges.

Design, build, and own highly scalable, highly available messaging infrastructure that processes hundreds of millions to billions of messages daily. Collaborate across teams on architecture, performance, monitoring, and reliability; mentor engineers; improve development and experimentation processes; participate in hiring and technical design.

Lead technical design and delivery of Klaviyo's messaging pipeline, building scalable backend services (Python/Go), driving architecture, mentoring engineers, collaborating across product, compliance, and platform, and ensuring high-throughput, reliable message delivery at scale.

Lead hands-on design and delivery of production AI/agentic applications and cloud-native services. Define engineering patterns for reliability, security, observability, and governance. Drive end-to-end delivery, mentor engineers, collaborate with Applied AI, Product, Security, and Platform teams, and shape technical roadmaps to scale AI-enabled products.

Design and build tooling, services, and reusable patterns to apply generative and agentic AI to products and developer workflows. Implement AI-enabled apps and integrations, evaluate models and frameworks, improve developer experience through automation, and prototype and scale solutions in collaboration with product and engineering stakeholders.

Build and scale agentic AI tooling, services, and integrations. Design AI-enabled applications and developer workflows, evaluate models and frameworks, prototype products, and improve developer experience through automation and platform-level patterns.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns for reliability, observability, security, and cost control. Drive end-to-end SDLC, mentor engineers, collaborate with AI, product, and platform teams, and operationalize AI solutions from prototype to governed production.

Lead design, develop, and deploy high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Participate across the SDLC, perform code reviews, optimize performance, and collaborate with product, TPMs, and test engineers while ensuring security and enterprise standards.

Lead hands-on design and delivery of agentic AI applications and platform capabilities. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve AI-enabled developer workflows, ensure security, observability, resiliency and cost control, mentor engineers, and collaborate with product, data science, and security teams to move prototypes to governed production.

Lead design, develop, and deploy Java-based microservices for a high-traffic B2B payments platform. Apply 12-factor principles, cloud (AWS/Azure), CI/CD, containerization, and performance optimization. Collaborate with product, TPMs, and QA, perform code reviews, and ensure security and architecture compliance.

Lead hands-on design and delivery of secure, scalable agentic AI applications and cloud-native services. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve developer workflows with AI, mentor engineers, and collaborate with product, AI, security, and platform teams to move prototypes to governed production.

Lead hands-on design and delivery of secure, scalable agentic AI applications and platform capabilities. Drive architecture, implementation, SDLC, observability, security, and cross-functional collaboration to take AI solutions from prototype to governed production. Mentor engineers and shape roadmaps to enable reliable, maintainable, and high-impact product delivery.

Build tooling, services, and reusable patterns to apply generative and agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience via automation, and partner with stakeholders to prototype and scale AI solutions.

Lead design, development, and deployment of high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Collaborate in Agile teams, apply 12-factor principles, own code reviews, CI/CD, containerization, performance optimization, and ensure compliance with security and enterprise architecture standards.

The Lead Software Engineer will design, develop, and deploy Java microservices within an Agile team while ensuring scalability and security for B2B payments.

Build tooling, services, and reusable patterns to apply generative and agentic AI across Mastercard. Design and implement AI-enabled applications and developer-facing workflows, evaluate models and frameworks, deliver prototypes to production, improve developer experience through automation, and collaborate with product and business stakeholders to scale AI solutions.

Lead design, build, and deploy Java-based microservices for a scalable B2B payments platform. Apply 12-factor principles, optimize performance, participate in full SDLC, perform code reviews, and collaborate with product, TPMs, and QA to meet enterprise security and architecture standards.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, develop integrations and automation to improve developer experience, and collaborate across product and engineering to prototype and scale solutions.

The Senior Software Engineer will develop AI-enabled applications and tooling, ensuring scalability and usability while collaborating with product and engineering teams.

Design and build agentic and generative-AI applications, tooling, and reusable platform services. Evaluate models and frameworks, implement developer-facing workflows, improve developer experience, and partner across product and engineering to prototype and scale AI-enabled solutions.