Top Software Engineer Jobs in Dublin

Leads and mentors a cross-functional engineering team building full-stack applications, APIs, data pipelines, and analytics products. Sets technical and product direction, designs complex features, partners on roadmaps and releases, drives engineering quality and innovation, collaborates across teams, and contributes directly to implementation while scaling platform solutions.

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.

Leads and mentors a cross-functional engineering team developing full-stack applications, data pipelines, APIs, and analytical products. Sets 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 also scales platform solutions, improves development processes, and maintains stakeholder communication in an agile environment.

Leads and coaches a cross-functional software engineering team while providing technical and product direction. Designs and develops complex full-stack applications, data pipelines, architectures, and scalable platform solutions. Partners with product teams on roadmaps and releases, drives technical innovation and quality, collaborates across business units, and contributes directly to implementation. Requires strong full-stack engineering expertise, team leadership, and experience with Java, Spring Boot, React, TypeScript, SQL, and related technologies.

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.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Design and develop the core vCluster Platform, focusing on Kubernetes internals, tenant isolation, container orchestration, and scalable resource-sharing systems. Build high-performance Go software, own features from technical design through release, solve complex systems-architecture problems, and contribute to open-source projects. The role requires autonomous technical leadership, active collaboration with the Kubernetes community, and experience in high-growth startup environments.

Design and build the vCluster Platform using Kubernetes internals and Go. Own features end to end from technical design through release, solve complex systems architecture problems, contribute to open-source projects, and develop scalable tenant isolation and resource-sharing solutions. The role requires autonomous technical problem solving, strong Kubernetes expertise, and participation in a high-growth startup environment.

Architect and develop production-grade business systems across Salesforce, NetSuite, and integrated enterprise platforms. Build quoting, subscription, and entitlement engines; create automation pipelines and API integrations; establish architecture, security, documentation, and code-review standards; and translate commercial policies into scalable technical solutions. The role partners with Finance, Sales Operations, Customer Success, and product stakeholders while maintaining system reliability, auditability, observability, and production readiness.

Build innovative software products in the Special Projects Division addressing public health, agriculture, education, and aid-related challenges in Sub-Saharan Africa. Responsibilities include designing software architectures, developing on UNIX-based platforms, participating in code reviews, using disciplined version control, collaborating with teams, and potentially applying Django, React, Android, or PyTorch. The role may involve travel to Africa to understand local contexts.

Own the frontend architecture and production delivery of a multi-brand consumer platform built with React, Next.js, and TypeScript. Responsibilities include creating a configurable multi-brand system, owning a design system and component library, converting AI-built prototypes into production features, using AI coding agents, and ensuring high UI quality, performance, accessibility, and Core Web Vitals. The role requires autonomous end-to-end ownership and daily production coding.

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.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

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.

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.

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, coding, testing, and delivery of a cloud-native experimentation and analytics platform. Builds scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, Spark, and Kubernetes. Drives modernization, technical strategy, architecture reviews, reliability, security, observability, and continuous delivery. Coordinates globally distributed teams, partners cross-functionally, mentors engineers, and ensures production-quality solutions aligned with enterprise standards.

Lead architecture, design, development, and delivery of scalable cloud-native experimentation and analytics platforms. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern engineering practices. Drive modernization, technical strategy, design reviews, delivery coordination, reliability, security, observability, and continuous improvement. Mentor engineers and collaborate across product, data science, QA, security, operations, and globally distributed engineering teams.

Lead architecture, design, development, and delivery of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, Spark, and modern delivery practices. Drive modernization, technical strategy, design reviews, code quality, security, reliability, and observability. Coordinate globally distributed teams, collaborate with product and technical partners, mentor engineers, and deliver secure, high-performance software across the full development lifecycle.

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, engineering standards, code reviews, and delivery across global teams. Mentor engineers and improve scalability, reliability, observability, security, and developer productivity through modern software practices.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Mid-level software engineer contributing to customer-facing Atlas Growth features. Build readable, well-tested TypeScript/React code, write database queries, author technical specs, lead small projects, collaborate with product and design, participate in reviews, triage support, and join on-call rotation.