Top Software Engineer Jobs in Dublin

Build and maintain scalable software for restaurant guest experiences, shipping features end-to-end from design through rollout and monitoring. Collaborate with Product, Design, and Engineering teams while using AI-assisted development tools and LLM-based agents to improve productivity. The role focuses on Java and Kotlin backend services, frontend integration, product quality, testing, iterative delivery, and developing toward broader ownership in a hybrid Dublin office environment.

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

Leads and develops a software engineering team while guiding architecture, technical decisions, code quality, and delivery of scalable full-stack applications, APIs, data pipelines, and analytics platforms. Partners with product and business stakeholders, manages dependencies and risks, drives engineering best practices, and supports cloud modernization, automation, observability, security, and operational readiness. Coaches engineers, supports hiring and performance management, and coordinates delivery across globally distributed teams.

Leads and develops a software engineering team responsible for full stack applications, APIs, data processing, and analytics platforms. Provides people and technical leadership through hiring, mentoring, architecture and design reviews, code reviews, delivery planning, and hands-on execution. Partners with product and cross-functional teams to deliver scalable, secure, cloud-native solutions, establish engineering best practices, manage risks and dependencies, and drive modernization and continuous improvement.

Leads and develops a software engineering team responsible for full-stack applications, APIs, data processing, analytics platforms, and cloud-native solutions. Oversees hiring, coaching, performance management, architecture, code reviews, technical decisions, delivery planning, and operational readiness. Partners with Product, Data, QA, Security, and global teams to deliver scalable, secure, reliable software while driving engineering excellence, modernization, automation, and continuous improvement.

Leads and develops a software engineering team while remaining technically engaged in architecture, design, code reviews, and implementation. Owns delivery of scalable full-stack applications, APIs, data processing, and analytics platform services. Partners with Product, Data, QA, Security, and Operations teams to translate priorities into execution plans, manage dependencies, improve engineering practices, and deliver secure, reliable, cloud-native software across globally distributed teams.

Leads and develops a software engineering team while guiding architecture, technical execution, delivery, and engineering practices. Responsibilities include hiring, mentoring, performance management, design and code reviews, hands-on technical decision-making, stakeholder collaboration, risk and dependency management, and delivery of scalable full-stack applications, APIs, data platforms, and cloud-native solutions.

Leads and develops a software engineering team responsible for full-stack applications, APIs, data processing, analytics platforms, and cloud-native solutions. Provides people and technical leadership through hiring, coaching, architecture and design reviews, code reviews, delivery planning, and hands-on execution. Partners with product and cross-functional teams to deliver secure, scalable, reliable software while driving engineering standards, modernization, operational readiness, and continuous improvement.

Leads and develops a software engineering team while remaining technically engaged in architecture, design, code reviews, and implementation. Oversees complex software initiatives from planning through release, partners with product and business stakeholders, and drives engineering standards covering testing, CI/CD, observability, security, performance, and operational readiness. Guides development of scalable cloud-native applications, APIs, microservices, data pipelines, and analytics platforms while managing risks, dependencies, distributed-team collaboration, and continuous improvement.

Leads and develops a software engineering team while remaining technically engaged in architecture, design, code reviews, and delivery. Oversees scalable full-stack applications, APIs, data processing, and analytics platforms using Java, microservices, cloud technologies, and modern engineering practices. Partners with product and cross-functional teams to set technical strategy, manage dependencies, improve operational readiness, and deliver secure, reliable software across globally distributed teams.

Leads and develops a software engineering team responsible for full-stack applications, APIs, data processing, analytics platforms, and cloud-native solutions. Provides people and technical leadership through hiring, coaching, architecture and design reviews, code reviews, delivery planning, and hands-on execution. Partners with product and cross-functional teams to deliver scalable, secure, reliable software, manage dependencies, improve engineering practices, and drive modernization across globally distributed teams.

Leads and develops a software engineering team responsible for full-stack applications, APIs, data processing, and analytics platforms. Provides people and technical leadership across architecture, design, code reviews, delivery planning, cloud modernization, testing, security, observability, and operational readiness. Partners with product, data, security, and globally distributed teams to deliver scalable, reliable software and improve engineering effectiveness.

Leads and develops a software engineering team responsible for full-stack applications, APIs, data processing, and analytics platforms. Provides people and technical leadership across hiring, mentoring, architecture, design reviews, code reviews, delivery planning, and operational readiness. Partners with Product and cross-functional teams to translate business priorities into technical strategy, deliver scalable cloud-native solutions, manage dependencies, and drive engineering excellence, modernization, automation, security, testing, observability, and continuous improvement.

Software engineering interns design, develop, test, troubleshoot, and document secure software solutions. They collaborate with engineers, managers, and stakeholders, apply automation across the software development lifecycle, and use approved AI development tools with peer review, testing, and secure validation. The program includes training, mentorship, networking, and potential full-time opportunities after graduation.

Build and operate cloud-native infrastructure security services used across the engineering organization. Responsibilities include designing distributed systems, improving scalability, reliability, performance, observability, and security, developing automation and tooling, participating in code and design reviews, supporting incident response and on-call operations, and collaborating with platform and product engineers. The role requires production experience with cloud-native systems, Python or Go, AWS, containers, Kubernetes, and secure multi-tenant architectures.

Build and evolve Toast’s cloud-native data platform, working hands-on with Spark, Iceberg, streaming infrastructure, lakehouse architecture, APIs, and feature-serving systems. Drive technical strategy and architectural decisions, influence engineering and product stakeholders, mentor engineers, and enable teams to build scalable data and AI/ML experiences. The role is hybrid in Dublin and supports major platform modernization initiatives.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl virtual card platform. Design Java and RESTful API solutions, conduct feasibility and performance analysis, debug server-side calls, work with databases and cloud-native technologies, support quality processes, document systems, and collaborate with distributed cross-functional Agile teams.

Designs, develops, deploys, and operates scalable, low-latency distributed systems for Mastercard authentication and fraud decisioning products. Responsibilities include API and real-time transaction development, architecture, cloud modernization, CI/CD, testing, observability, production troubleshooting, security, reliability improvements, cross-functional collaboration, and mentoring junior engineers.

Lead development of high-performance fraud management solutions, including real-time transaction processing systems, web applications, web services, and vendor integrations. Responsibilities include proofs of concept, detailed design, software development, implementation support, functional and technical testing, production support, and integration with Mastercard processing technologies. The role collaborates with architects, developers, analysts, project managers, business partners, and technology teams to deliver maintainable solutions.

Design, develop, deploy, and operate highly scalable, low-latency distributed authentication services. Build APIs, real-time transaction processing, and decisioning capabilities while contributing to cloud modernization, observability, automation, and CI/CD. Troubleshoot production issues, improve reliability with SRE partners, apply secure coding practices, collaborate on fraud intelligence solutions, influence architecture, and mentor junior engineers.

Designs, develops, tests, deploys, and operates highly scalable, low-latency distributed systems for Mastercard authentication and fraud decisioning products. Responsibilities include API and real-time transaction development, architecture, cloud modernization, CI/CD, observability, production troubleshooting, reliability improvements, secure coding, cross-functional collaboration, and mentoring engineers.

Develops high-performance fraud management technology, including transaction-processing systems, web applications, web services, and fraud-scoring integrations. Responsibilities include proof-of-concepts, detailed design, software development, implementation support, functional and technical testing, and production support. The role collaborates with architects, developers, analysts, project managers, and business partners to deliver scalable, secure, maintainable solutions aligned with Mastercard standards.

Design, develop, deploy, and operate highly scalable, low-latency distributed authentication services. Build APIs, decisioning systems, and real-time transaction components while driving architecture, cloud modernization, observability, CI/CD, security, and operational reliability. Collaborate with Product, Data Science, SRE, and engineering teams to improve fraud detection and authentication performance. Troubleshoot production issues, contribute to technical planning, mentor engineers, and promote software engineering best practices.

Develop, test, implement, document, maintain, and support secure, scalable Java applications for Mastercard’s InControl virtual card platform. Design RESTful APIs, evaluate technical solutions, conduct performance testing, troubleshoot server-side integrations, and work with cross-functional Agile teams. Responsibilities also include database design, cloud-native development, quality assurance, project metrics, documentation, and process improvement.

Develops, tests, implements, documents, maintains, and supports secure, scalable Java applications for Mastercard’s InControl virtual card platform. Designs RESTful APIs, evaluates technical solutions, performs feasibility and performance analysis, supports cloud-native development, collaborates with cross-functional Agile teams, and contributes to quality, security, documentation, metrics, and process improvements.