Top Software Engineer Jobs in Dublin

Lead design and delivery of full-stack, high-performance solutions (Java Spring Boot + React). Architect scalable microservices and UI components, define APIs and CI/CD, ensure reliability, security, observability, and production readiness, mentor engineers, and drive cross-team delivery and engineering quality.

Lead end-to-end design and delivery of full-stack, high-volume solutions (Java Spring Boot backend and React frontend). Define API contracts, microservice boundaries, CI/CD, observability, security, and performance standards. Mentor engineers, drive architecture and cross-team execution, ensure production readiness, and improve engineering quality, testing, and operational excellence.

Design, implement, and maintain backend services and APIs for real-time and batch decisioning; integrate ML/LLM-driven components (inference, feature computation, policy orchestration); productionize models with data scientists; enable safe deployment (A/B, canary); extend rules/config framework for non-developer policy authoring; collaborate with product and partner teams; participate in code reviews, architecture, and on-call ownership.

Design, implement, test, and review software across the stack to build and optimize AI infrastructure. Collaborate with engineers, support customers through scoping, proofs-of-concept, trials, and production escalation, and help shape company culture and processes in a fast-paced startup.

Build and own backend features end-to-end for an AI-native SaaS platform using Java and Spring. Design, implement, test, release and operate services, create REST APIs, contribute to data modelling with the Elastic Stack, add observability, respond to incidents, participate in Agile squads, and use AI-assisted tooling like Claude Code to accelerate development.

As a Senior Software Engineer, you'll enhance REDAPL, lead projects, focus on data ingestion and query pipelines, and ensure platform reliability.

Lead the architecture, design, and development of scalable data-driven applications and platforms, guiding teams in engineering excellence and cloud technologies.

Join the Server Ingress Security team to design and implement security services in Rust, ensuring the security and performance of MongoDB’s ingress networking.

The Staff Software Engineer will develop AI agents for restaurant workforce management, utilizing Java or Kotlin and modern web technologies. Responsibilities include full-stack development, collaboration across teams, mentoring, and championing best practices in agent development.

The role involves designing and implementing payment processing systems, guiding junior engineers, and ensuring high-quality backend services through best practices.

Design, implement, and support features for the MongoDB Atlas API Platform and developer tools (e.g., Atlas CLI). Build IaC tooling and integrations, work with cloud platforms, ship incremental features, investigate customer issues (Level 2 support rotation), and collaborate across distributed teams while mentoring peers.

Design and build Agentic AI tooling, services, and reusable patterns; implement AI-enabled applications and developer-facing capabilities; evaluate models and frameworks; improve developer experience via automation; partner across product and engineering to prototype and scale AI solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, orchestrations, and integrations; evaluate models and frameworks; develop prototypes to production; improve developer experience through automation and platform thinking; partner across product, engineering, and business stakeholders.

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, improve developer experience, and partner with stakeholders to prototype and scale AI solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications and integrations, evaluate models, develop prototypes from concept to validation, and improve developer experience through automation and platform capabilities while partnering with product and business stakeholders.

Build and ship Agentic AI tooling, services, and integrations that enable teams to prototype, validate, and scale AI-enabled products. Design orchestration, tool-calling, context management, and developer-facing workflows; evaluate models and frameworks for quality, cost, latency and reliability. Partner with product and engineering stakeholders to deliver reusable, production-grade patterns and improve developer experience through automation and platform thinking.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to prototype and scale production solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and deliver prototypes to production in collaboration with product and engineering stakeholders.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design, implement, and evaluate AI-enabled apps and developer workflows; improve developer experience via automation and platform capabilities; partner with stakeholders to deliver prototypes to production and share best practices across Mastercard.

Build and ship AI-enabled applications, tooling, and platform capabilities for agentic AI. Design reusable services, evaluate models and frameworks, improve developer workflows, and partner across product and engineering to prototype and scale AI solutions.

Design, build, and scale agentic and generative AI tooling, services, and developer-facing platforms. Implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with product and business stakeholders to prototype and productionize solutions.

Design and build Agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, develop frontend (React/Next.js) and backend (Java/Python) systems, improve developer experience via automation and CI/CD, and partner with stakeholders from prototype to validation while sharing best practices.

Design, develop, test, deploy, and operate scalable full-stack applications using modern practices (microservices, serverless, CI/CD, IaC). Diagnose performance issues, integrate systems, document code, participate in agile ceremonies, and leverage AI-assisted tooling to accelerate the software development lifecycle.

Design, build, and maintain automation services, APIs, and lightweight UIs to automate access-management processes and compliance workflows. Integrate enterprise systems (e.g., NICE, Siebel, Genesys), implement RBAC and JML lifecycle logic, create audit-ready reporting pipelines, apply AI/ML for anomaly detection, and collaborate with InfoSec, compliance, and platform teams to ensure secure, auditable access governance.

The role involves designing, developing, and maintaining APIs, optimizing backend services, and collaborating with cross-functional teams to align architecture with product strategy.