Top Software Engineer Jobs in Dublin

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 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 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 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 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, 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.

Design, build, and maintain high-performance Android solutions for Toast POS, ship end-to-end features, collaborate with UX/PM/QA, integrate backend services, and iterate using AI-assisted tools to improve guest engagement in restaurants.

Build and lead scalable full-stack, data-intensive applications for analytics, experimentation, and decision-making. Responsibilities include team-level system design, distributed systems and API development, Databricks and Spark data processing, AI-powered agentic products using LLMs, performance optimization, cloud-native deployment, troubleshooting, secure coding, observability, CI/CD, and mentoring engineers.

Lead the architecture, development, and productionization of AI-powered products, intelligent agents, and cloud-native analytics platforms. Design agentic systems with reasoning, memory, retrieval, evaluation, safety, and human oversight. Build scalable services and APIs using AWS, Azure, Databricks, Spark, Python, and Java. Drive technical execution, architecture reviews, DevSecOps, testing, reliability, governance, and cost optimization while mentoring engineers and coordinating globally distributed teams.

Leads architecture and hands-on development of enterprise AI products, intelligent agents, agentic workflows, analytics platforms, and cloud-native services. Designs secure, scalable systems using LLMs, retrieval, orchestration, memory, evaluation, and safety controls. Guides productionization through reliability, observability, governance, CI/CD, testing, and cost optimization. Partners across engineering, product, data, security, and operations teams; coordinates global technical execution, drives design and code reviews, establishes reusable platforms, and mentors engineers.

Lead the architecture, development, and production deployment of AI-powered products, intelligent agents, and agentic workflows. Build scalable cloud-native services, APIs, analytics platforms, and distributed systems using AWS, Azure, Databricks, Spark, Python, and Java. Establish reliability, security, governance, observability, and cost-optimization practices while coordinating global engineering teams. Drive technical decisions, reviews, CI/CD, automated testing, modernization, reusable platforms, and mentorship across the engineering organization.

Lead the architecture, development, and production deployment of AI-powered products, intelligent agents, and cloud-native analytics platforms. Build agentic workflows using LLMs, retrieval systems, orchestration, memory, evaluation, and safety controls. Develop scalable services and APIs with AWS, Azure, Databricks, Spark, Python, and Java. Drive engineering standards, CI/CD, security, observability, technical execution, architecture reviews, and mentorship across globally distributed teams.

Build and lead scalable full-stack, data-intensive applications and AI-powered products using distributed systems, cloud technologies, Databricks, Spark, and LLMs. Responsibilities include system design, API and service development, performance optimization, mentoring engineers, technical troubleshooting, secure coding, testing, observability, CI/CD, and cross-functional collaboration. The role guides team-level architecture and delivers reliable analytics-driven solutions for global customers.

Build and lead full-stack, data-intensive, analytics-driven applications for business experimentation and decision-making. Responsibilities include system design, distributed systems development, Databricks and Spark data processing, AI and LLM-powered products, performance optimization, cloud-native deployment, troubleshooting, testing, security, observability, CI/CD, and mentoring engineers.

Leads the design, development, and productionization of AI-powered products, intelligent agents, and agentic workflows. Architects scalable cloud-native platforms using LLMs, retrieval systems, orchestration frameworks, and modern data technologies. Provides hands-on software engineering, drives architecture and code reviews, coordinates global technical execution, improves reliability and developer productivity through automation and DevSecOps, and mentors engineers while ensuring security, observability, governance, and performance.

Build and lead scalable full-stack, data-intensive, analytics-driven applications for Mastercard Services. Responsibilities include system design, distributed systems, APIs, Databricks and Spark development, AI-powered products and agentic workflows, performance optimization, cloud deployment, reliability improvements, technical mentoring, code reviews, testing, security, observability, and cross-functional solution delivery.

Lead technical design and hands-on development of AI-powered products, intelligent agents, agentic workflows, scalable services, APIs, and analytics platforms. Drive architecture, productionization, security, observability, reliability, CI/CD, DevSecOps, and engineering excellence across globally distributed teams. Mentor engineers, lead technical decisions and reviews, and build reusable platforms using cloud, data, and modern AI technologies.

Designs and develops scalable full-stack, data-intensive, analytics-driven applications and AI-powered products. Responsibilities include system architecture, distributed systems, APIs, Databricks and Spark development, LLM-based agentic workflows, performance optimization, cloud-native deployment, testing, observability, troubleshooting, and mentoring engineers.