Top Software Engineer Jobs in Dublin

Designs and develops scalable full-stack, distributed, data-intensive, and AI-powered applications. Leads system design, builds analytics and agentic workflows using Databricks, Spark, and LLM technologies, resolves performance and reliability issues, and translates business needs into secure technical solutions. The role also involves mentoring engineers, conducting design and code reviews, improving CI/CD and observability, supporting cloud-native production systems, and collaborating across teams.

Lead the design, development, and production deployment of AI-powered products, intelligent agents, and cloud-native analytics platforms. Architect agentic systems with reasoning, memory, retrieval, evaluation, safety, and human-in-the-loop controls. Build scalable services, APIs, and data applications using AWS, Azure, Databricks, Spark, Python, and Java. Drive architecture reviews, engineering excellence, CI/CD, DevSecOps, technical execution, modernization, and mentorship across globally distributed teams.

Lead the architecture and development of scalable, cloud-native AI products, intelligent agents, agentic workflows, and analytics platforms. Design production-grade systems using LLMs, retrieval, orchestration, memory, evaluation, and safety controls. Build APIs and distributed services with Python, Java, AWS, Azure, Databricks, and Spark. Drive technical execution, architecture reviews, DevSecOps, automation, reliability, governance, and mentoring across globally distributed engineering teams.

Build and lead scalable full-stack, data-intensive applications and AI-powered products. Responsibilities include system design, distributed services, APIs, Databricks and Spark development, LLM agentic workflows, performance optimization, cloud deployment, troubleshooting, testing, observability, secure coding, and mentoring engineers.

Build and lead scalable full-stack, data-intensive applications and AI-powered products. Responsibilities include system design, distributed systems, microservices, APIs, Databricks and Spark development, LLM-based agentic workflows, performance optimization, cloud deployment, testing, observability, troubleshooting, and mentoring engineers. The role translates business needs into secure, maintainable technical solutions and drives engineering quality, reliability, and production readiness.

Designs and develops scalable full-stack, distributed, data-intensive applications and AI-powered products. Leads system design, API and data architecture, performance optimization, cloud deployments, testing, observability, and production support. Collaborates with cross-functional teams to translate business needs into secure technical solutions, troubleshoots complex platform issues, and mentors junior and mid-level engineers. The role includes developing Databricks and Spark applications, LLM-based agents, retrieval systems, and agentic workflows.

Build and lead scalable full-stack, data-intensive applications using distributed systems, cloud technologies, Databricks, Spark, and AI agentic workflows. Responsibilities include system design, API and data architecture, performance optimization, troubleshooting, secure coding, testing, observability, CI/CD, production readiness, cross-functional collaboration, and mentoring engineers.

Develop and support scalable MES applications, reporting solutions, CI/CD pipelines, and event-driven integrations for global manufacturing operations. The role involves Java and SQL development, troubleshooting integrated systems, root-cause analysis, documentation, process improvement, and collaboration with engineering, DevOps, and manufacturing teams.

Analyze anti-bot and bot-mitigation systems, identify how websites detect and block scraping activity, and develop repeatable testing and bypass approaches. Build a greenfield agentic environment for evaluating anti-bot behavior, contribute to backend systems at scale, investigate complex incidents, and communicate findings clearly. The role requires deep web protocol knowledge, strong Node.js, TypeScript, and Python skills, scientific problem-solving, AI coding agent proficiency, and independent execution in a remote-first team.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Staff Software Engineer responsible for designing, building, and operating distributed market data systems. The role focuses on real-time blockchain data ingestion, streaming, normalization, storage, APIs, reliability, data correctness, observability, incident recovery, and production support. The engineer will lead technical decisions, mentor teammates, translate ambiguous requirements into designs, and use AI-assisted development throughout the software lifecycle.

Develop and operate cloud-based software components for AI-powered customer experience products. Own features from design through deployment, contribute to system architecture, lead cross-microservice development, review code, and mentor engineers. Research and benchmark text-to-speech and speech-to-text engines, assess architectural impacts of new technologies, contribute to product roadmaps, and uphold security, traceability, testing, and DevOps practices.

Design, build, test, and deploy high-scale cloud platform infrastructure for Astronomer’s DataOps products. The role involves platform reliability, Kubernetes-based systems, observability, CI/CD, incident management, technical decision-making, documentation, cross-functional collaboration, and periodic on-call support. The engineer will help establish platform engineering practices and deliver reliable infrastructure across distributed cloud environments.

Build and operate Workday’s agent performance metrics platform, including telemetry pipelines into Apache Iceberg via dbt, CI/CD schema enforcement, and MetricsFlow semantic-layer services. Responsibilities include improving query performance, supporting multi-tenant data isolation, evolving governance models, developing APIs, and applying distributed-systems and data-quality principles. The role also involves technical design, architectural collaboration, documentation, and serving as a domain expert for pipeline design, schema governance, and metric serving.

Build and operate Workday’s agent performance metrics platform, including telemetry pipelines into Apache Iceberg via dbt, CI/CD schema enforcement, data quality checks, and MetricsFlow semantic-layer services. The role focuses on governed metric serving, multi-tenant data isolation, low-latency queries, distributed systems, API development, and scalable data architecture. It also requires contributing to technical design, system documentation, architectural discussions, and engineering excellence across distributed teams.

Design, build, and operate traffic management and routing systems for eBay’s large-scale commerce platforms. Develop high-performance services using Java, C++, or Go; deploy and troubleshoot Kubernetes workloads; improve security, latency, throughput, and reliability; and use observability tools for production diagnosis. Collaborate with SRE, platform, and application teams on distributed systems and networking solutions.

Leads end-to-end software engineering for scalable analytics applications, platforms, data workflows, and AI-powered solutions. Responsibilities include system design, development, testing, deployment, production support, Python/PySpark/SQL pipeline development, cloud application development, DevOps automation, technical leadership, prototyping, code reviews, and cross-functional collaboration.

Lead design and implementation of secure data management in public cloud. Perform risk-based assessments for Data & AI/ML services, review infrastructure-as-code, advise engineering teams on controls, integrate with security operations, and mentor junior staff to maintain robust cloud security.

Build and deliver full-stack, cloud-based software and AI-powered products using serverless architectures, AWS or Azure, C# .NET or Java, and React. Develop multi-layer systems, contribute to CI/CD and Agile delivery, solve complex business problems, ensure high-quality production releases, and mentor junior and mid-level engineers. Collaborate with engineering, product, sales, and leadership teams while leveraging generative AI tools and platforms.

Leads and develops a cross-functional engineering team building full-stack applications, data pipelines, APIs, and analytics products. Provides technical and product direction, designs complex features, partners on roadmaps, drives innovation and quality, mentors engineers, and coordinates large technical efforts across teams. Contributes directly to implementation while scaling platform solutions and maintaining stakeholder alignment.

Leads and coaches a cross-functional software engineering team while providing technical and product direction. Designs and develops complex full-stack applications, data pipelines, APIs, and scalable platform solutions. Partners on roadmaps, feature scope, and releases; drives technical innovation, quality, agile practices, and process improvements. The role combines engineering management with hands-on individual contribution and collaboration across teams and business units.

Leads and develops a cross-functional software engineering team building full-stack applications, data pipelines, APIs, and analytics products. Provides technical and product direction, designs complex features, partners on roadmaps and releases, mentors engineers, drives innovation and quality, and contributes to implementation. The role requires scaling platform solutions, collaborating across teams, managing accountability, and solving complex customer-focused technical problems in an agile environment.

Leads and coaches a cross-functional engineering team while providing technical and product direction. Designs and develops complex full-stack applications, data pipelines, APIs, and scalable platform solutions. Partners on roadmaps, feature scope, releases, and technical innovation; contributes directly to implementation, improves engineering processes, and collaborates across teams to solve complex problems. Requires extensive full-stack experience and expertise in Java, Spring Boot, React, Redux, TypeScript, SQL, and related technologies.

Leads and coaches a cross-functional software engineering team while providing technical and product direction. Designs and develops complex full-stack applications, architectures, data pipelines, and scalable platform solutions. Partners on roadmaps, feature scoping, releases, and technical innovation. Contributes directly to implementation, promotes engineering quality and agile practices, manages accountability, and collaborates across teams to solve complex customer problems.

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 with product teams on roadmaps, feature scoping, and releases; drives technical innovation, quality, agile practices, and process improvements. Collaborates across teams, contributes directly to implementation, manages stakeholder communication, and supports high-performing engineering practices.