Top Software Engineer Jobs in Dublin

Leads and coaches a cross-functional software engineering team building full-stack applications, APIs, data pipelines, and analytics products. Provides technical and product direction, designs complex features, partners on roadmaps and releases, drives innovation and quality, collaborates across teams, and contributes directly to implementation. The role requires scaling platform solutions, mentoring engineers, managing technical initiatives, and applying agile development practices.

Leads and mentors a cross-functional engineering team while providing technical and product direction. Designs and develops complex full-stack applications, data pipelines, architectures, and scalable platform solutions. Partners on roadmaps, feature scoping, releases, and stakeholder communication. Champions innovation, quality, agile practices, and process improvements while contributing directly to implementation and solving complex customer-focused problems.

Design, develop, and maintain high-performance Android POS payment integrations using Kotlin. Lead architecture and technical decisions, optimize secure mobile payment flows, integrate hardware SDKs, ensure PCI-DSS compliance, troubleshoot complex issues, and mentor engineers. Collaborate across backend, product, UX/UI, and QA teams while improving reliability, observability, scalability, and development practices.

Design, build, and maintain scalable backend and full-stack solutions for restaurant marketing and guest engagement. Ship features end-to-end, collaborate with Product and Design, use AI-assisted development tools, monitor product outcomes, and mentor engineers. The role requires strong software fundamentals, comfort with ambiguity, cross-stack collaboration, and a product-focused approach to delivering impactful customer experiences.

The Software Engineer will design and maintain APIs, oversee backend services, optimize performance, and collaborate with cross-functional teams to align with product strategies.

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.

Designs and develops scalable, cloud-native, data-intensive experimentation and analytics applications. Leads team-level architecture, API and data-flow design, performance optimization, testing, security, observability, CI/CD, and production readiness. Builds services using Java, Databricks, Spark, cloud platforms, and modern data technologies; troubleshoots complex application and cloud issues; collaborates cross-functionally; and mentors junior and mid-level engineers.

Lead architecture, design, development, testing, and optimization of scalable, cloud-native experimentation platforms. Build distributed services, APIs, data pipelines, and analytics capabilities using Java, Databricks, Spark, and modern cloud technologies. Drive performance, reliability, security, observability, CI/CD, and production readiness while mentoring engineers and collaborating across teams to translate business needs into durable technical solutions.

Lead team-level system design and develop scalable, cloud-native software for a data-intensive experimentation platform. Build distributed services, APIs, analytics capabilities, and data pipelines using Java, Databricks, Spark, and cloud technologies. Drive performance, reliability, security, testing, observability, CI/CD, and production support. Collaborate cross-functionally, translate business needs into technical solutions, troubleshoot complex issues, and mentor junior and mid-level engineers.

Design and develop scalable, cloud-native experimentation platforms and analytics-driven applications. Lead team-level architecture and API design, build data-intensive services using Java, Databricks, and Spark, and optimize performance, reliability, security, and operability. Contribute hands-on across the software development lifecycle, troubleshoot complex production issues, improve CI/CD and testing practices, and mentor engineers. Collaborate with architects and cross-functional teams to translate business requirements into maintainable technical solutions.

Design and develop scalable, cloud-native experimentation platforms and data-intensive analytics applications. Lead team-level architecture and API design, build services using Java, Databricks, Spark, and modern cloud technologies, and troubleshoot performance and reliability issues. Collaborate across teams to translate business needs into secure technical solutions, improve engineering practices through testing, CI/CD, observability, and code reviews, and mentor junior and mid-level engineers across the full software development lifecycle.

Design and develop scalable, cloud-native experimentation platforms and data-intensive analytics applications. Lead team-level architecture and system design, build distributed services, APIs, and data pipelines, and optimize performance, reliability, security, and operability. Collaborate across functions to translate business needs into technical solutions, mentor engineers, troubleshoot complex production issues, and improve engineering practices through testing, reviews, observability, CI/CD, and secure coding.

Designs and develops scalable, cloud-native experimentation platforms and data-intensive analytics applications. Leads team-level system design, API and data-flow architecture, performance optimization, secure coding, testing, observability, CI/CD, and production readiness. Builds services and data pipelines using Java, Databricks, Spark, and modern cloud technologies. Collaborates with cross-functional teams, troubleshoots complex application and cloud issues, and mentors junior and mid-level engineers across the full software development lifecycle.

Lead architecture, design, development, testing, and production delivery for scalable experimentation and analytics software. Build distributed systems, microservices, APIs, data-intensive applications, and cloud-native services using Java, Databricks, Spark, and modern data technologies. Optimize performance, reliability, security, and observability; troubleshoot complex application and cloud issues; collaborate across teams; and mentor junior and mid-level engineers while guiding technical design and implementation.

Designs, develops, tests, and supports scalable, cloud-native experimentation platforms and analytics-driven applications. Responsibilities include leading team-level system design, building distributed services and APIs, optimizing Databricks and Spark workloads, troubleshooting performance and reliability issues, and translating business needs into secure technical solutions. The engineer collaborates across teams, contributes throughout the software lifecycle, improves CI/CD and observability practices, and mentors junior and mid-level engineers.

Design and develop scalable, cloud-native experimentation platforms and data-intensive analytics applications. Lead team-level system design, APIs, data flows, and nonfunctional requirements while coding, testing, debugging, and optimizing production software. Build distributed systems, microservices, and data pipelines using Java, Databricks, Spark, and cloud technologies. Troubleshoot complex issues, improve reliability and observability, collaborate cross-functionally, and mentor engineers.

Lead system design and develop scalable, cloud-native software for a data-intensive business experimentation platform. Build distributed services, APIs, analytics capabilities, and data pipelines using Java, Databricks, Spark, and modern cloud technologies. Improve performance, reliability, security, observability, testing, and CI/CD practices. Troubleshoot complex production issues, collaborate across teams, and mentor engineers throughout the software development lifecycle.

Develop and maintain automated and manual tests for an AWS-based registry platform using C# and relational or non-relational databases. Collaborate with QA and engineering teams in an Agile environment, enhance automation frameworks, test XML and JSON APIs, configure TeamCity continuous integration, assist with AWS deployments through Azure DevOps, and maintain bugs, test plans, and estimates.

Supports integration of IT systems, tools, device data, and network logs into Salesforce Data360. Builds Agentforce workflows and automations using Python, Swift, Go, MuleSoft, and AWS. Integrates device-management APIs, troubleshoots serverless infrastructure, and collaborates with IT teams to improve employee experiences. Requires technical education or equivalent experience, API knowledge, AI interest, and familiarity with cloud and serverless environments.

Lead the architecture, design, development, and modernization of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and PySpark. Drive technical strategy, system design, code reviews, delivery, observability, security, and reliability across distributed teams while mentoring engineers and coordinating cross-functional initiatives.

Lead architecture, design, coding, testing, and delivery of scalable cloud-native software for Mastercard’s experimentation and analytics platform. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, and Spark. Drive modernization, technical strategy, architecture reviews, security, reliability, observability, and continuous delivery. Coordinate globally distributed teams, collaborate across engineering and business functions, and mentor engineers while championing engineering excellence.

Leads architecture, design, development, modernization, and delivery of scalable cloud-native experimentation and analytics software. Builds services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and PySpark. Provides technical leadership across distributed teams, drives design and code reviews, mentors engineers, and champions security, reliability, observability, performance, and continuous delivery.

Lead architecture and hands-on development of Mastercard’s cloud-native experimentation and analytics platform. Design scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, and Spark/PySpark. Drive modernization, technical strategy, design reviews, delivery across global teams, and engineering best practices for security, reliability, observability, and performance. Mentor engineers and collaborate with product, data science, QA, security, and operations teams.

Lead the architecture, design, development, and modernization of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, and Spark/PySpark. Drive technical strategy, system design, code reviews, architecture decisions, and cross-team execution while mentoring engineers and ensuring secure, reliable, observable, high-performance software delivery.

Leads architecture, design, development, and delivery of scalable cloud-native experimentation and analytics platforms. Builds distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern software practices. Drives modernization, technical strategy, architecture reviews, cross-team execution, reliability, security, observability, and continuous delivery while mentoring engineers and coordinating globally distributed teams.