Top DevOps Jobs in Dublin

Leads platform-level execution of software and AI/ML systems across multiple engineering teams. Oversees shared infrastructure, DevOps, CI/CD, cloud-native architecture, cost optimization, system integration, and full software lifecycle delivery. Partners with product and data teams, guides architectural decisions, mentors engineers, manages stakeholders and technical initiatives, and drives system availability, scalability, maintainability, and continuous improvement.

Prospects and qualifies Middle East security-market leads through cold calling, email, social outreach, research, and industry events. The BDR builds pipeline, meets activity targets, schedules qualified meetings and demos, maintains CRM records, collaborates on regional sales strategies, tracks industry and competitor trends, and provides feedback to marketing and product teams. The role requires Arabic fluency, UAE residence, sales or lead-generation experience, and familiarity with cybersecurity, cloud-native, or DevOps markets.

Leads cloud engineering and operations, owning secure, scalable Azure platforms and cloud governance. Responsibilities include architecture strategy, cost management, security, compliance, reliability, deployment practices, operational performance, vendor partnerships, transformation roadmaps, and engineering team leadership. The role requires hands-on technical direction, complex issue resolution, stakeholder communication, people development, and alignment of cloud platforms with business objectives.

Designs and supports cloud-native infrastructure, automation, landing zones, network and security infrastructure across AWS regions. Builds and maintains infrastructure-as-code modules, CI/CD tools, developer platform services, and migration tooling. Establishes coding standards, tests internal tools, mentors developers, and leads critical platform features at scale.

Lead modernization stream to transition payment processing systems to microservices and event-driven architecture. Design and deliver scalable Java-based cloud-native solutions on AWS using Kafka and Kubernetes. Drive engineering excellence, CI/CD improvements, mentor engineers, and collaborate with product, architecture, operations, and compliance to move initiatives from concept to production.

Leads the architecture, design, development, integration, modernization, and governance of enterprise applications. Designs secure, scalable, resilient solutions; creates architecture roadmaps and standards; implements APIs and integration platforms; leads cloud initiatives; conducts architecture reviews and technical assurance; and mentors development teams.

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.

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.

Develop and operate cloud-based software components and services for conversational AI voice products. Responsibilities include designing and testing features, owning delivery through deployment, evolving architecture, contributing to product strategy, reviewing code, troubleshooting production issues, mentoring engineers, and improving team velocity. The role emphasizes Java, REST APIs, distributed systems, DevOps, CI/CD, AWS, microservices, and voice and language technologies.

Build and scale event-driven .NET microservices powering M-KOPA’s electric mobility financing platform across Africa. Responsibilities include architecture, production monitoring, automated testing, observability, continuous delivery, infrastructure as code, and end-to-end ownership within a DevOps culture. The role involves collaborating across distributed teams, coaching others, and developing cloud-native backend systems using Azure, messaging technologies, Kubernetes, Docker, Prometheus, Grafana, and AI coding tools.

Designs, implements, and oversees secure, scalable, cost-effective cloud solutions across Azure and OCI. The role develops cloud architecture roadmaps, high- and low-level designs, governance standards, security controls, networking patterns, automation practices, and disaster recovery capabilities. It supports cloud transformation and migration initiatives, evaluates technology solutions, collaborates with enterprise architecture, cybersecurity, operations, and project teams, and ensures successful transition of cloud capabilities into operational service.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, scalable microservices, and high-throughput, low-latency systems. Provides technical leadership across architecture, security, compliance, project planning, and software delivery. Develops in Java, Python, and Go; mentors engineers; drives engineering excellence; and applies automation, performance tuning, resilient design, databases, and AI technologies such as generative AI and LLMs.

Leads modernization of fraud rules and engine platforms, large-scale migrations, and development of highly scalable, secure, low-latency systems. Provides architectural leadership, drives early-stage engineering projects, ensures compliance with technical standards, mentors developers, and collaborates across teams. Requires hands-on expertise in Java, Python, or Go; microservices, distributed systems, databases, DevOps, security, and high-availability platforms, with familiarity with generative AI and LLMs.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, architecture, scalable software development, and early-stage project delivery. Provides technical leadership across cross-functional teams, mentors engineers, ensures security and architectural compliance, and drives engineering excellence. Designs high-throughput, low-latency distributed systems using Java, Python, Go, databases, microservices, and emerging AI technologies. Supports planning, estimation, performance tuning, automation, and continuous improvement.

Lead modernization of fraud rules and engine platforms, driving large-scale migrations and scalable, low-latency software development. Provide architectural leadership, ensure security and compliance, guide project planning, mentor engineers, and promote engineering excellence. Develop and review secure code across Java, Python, and Go while supporting distributed systems, databases, DevOps practices, AI-enabled fraud solutions, and continuous improvement.

Leads modernization of fraud rules and engine platforms, large-scale migrations, and scalable distributed software development. Provides architectural direction, ensures security and compliance, drives early-stage projects, mentors engineers, and promotes engineering excellence. Develops high-quality software in Java, Python, and Go while designing high-throughput, low-latency systems. Responsibilities include project estimation, technical leadership, performance tuning, automation, documentation, and collaboration across teams.

Leads modernization of high-throughput fraud rule platforms and large-scale migrations. Provides architectural direction, designs secure and scalable distributed systems, leads software development projects, and ensures alignment with business, infrastructure, and security requirements. Codes in Java, Python, and Go; mentors engineers; drives technical excellence; and supports planning, estimation, performance tuning, automation, and continuous improvement across global platforms.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, scalable distributed systems, and high-throughput services. Provides architectural direction, ensures security and compliance, leads early-stage software projects, mentors engineers, and drives engineering excellence. Develops secure code in Java, Python, and Go while applying microservices, database, automation, performance-tuning, and reliability best practices. Familiarity with generative AI and LLMs for fraud rules is also expected.

Leads modernization of fraud rules and engine platforms, including large-scale migrations and scalable, high-throughput systems. Provides technical leadership across architecture, design, security, compliance, planning, estimation, and delivery. Develops secure software in Java, Python, and Go, mentors engineers, drives engineering excellence, and collaborates cross-functionally. Requires expertise in microservices, distributed systems, databases, DevOps, performance tuning, automation, and software development processes.

Leads modernization of large-scale fraud rules and engine platforms, including migrations, architecture, scalable software development, and early-stage project delivery. Provides technical thought leadership, ensures architectural and security compliance, mentors engineers, and drives engineering excellence. Develops secure, high-quality code in Java, Python, and Go while designing highly available, low-latency distributed systems. Applies expertise in microservices, databases, DevOps, performance tuning, automation, and financial or banking technology.

Leads modernization of fraud rules and engine platforms, including large-scale migrations and early-stage software projects. Provides architectural guidance, ensures security and compliance, mentors engineers, and drives engineering excellence. Develops scalable, high-throughput, low-latency systems using Java, Python, Go, microservices, relational and NoSQL databases. Collaborates cross-functionally on requirements, planning, estimation, technical design, and continuous improvement.

Own the technical success of strategic enterprise customers by advising on platform health, scalability, reliability, performance, and architecture. Lead technical handoffs, manage escalations and incidents, coordinate Support, Product, Engineering, and Customer Success teams, and communicate resolution plans. Analyze usage and support trends, triage bugs and feature requests, provide workflow improvements, and share customer insights to improve the platform.

Build and maintain scalable ETL pipelines, integrate data from databases, APIs, streaming platforms, and external providers, and transform large datasets for analytics and machine learning. Establish reusable engineering frameworks, data governance, monitoring, alerting, and reliability practices. Collaborate with analytics and business teams on cloud data migration, predictive model enablement, and healthcare cost reduction. Required skills include SQL, Python, Scala or Java, cloud platforms, Snowflake or Databricks, DevOps, Git, and CI/CD.

Own the strategy, roadmap, backlog, delivery, and continuous improvement of an enterprise integration platform. Lead Agile planning, prioritization, release management, stakeholder engagement, governance, vendor relationships, budgets, compliance, operational readiness, and platform transformation. Collaborate with business stakeholders, customers, suppliers, and cross-functional technology teams to deliver measurable business value, improve adoption, and maintain operational excellence.

Leads multiple geographically dispersed software engineering teams delivering high-quality enterprise SaaS applications. Partners with Product Management, architects, and DevOps to manage backlogs, priorities, defects, technical debt, release schedules, and engineering metrics. Recruits, develops, and motivates teams while influencing architecture and design. Oversees software quality, test automation, Agile delivery, continuous integration, continuous deployment, and process optimization.