Top Linux Jobs in Dublin

Lead Site Reliability Engineer responsible for application reliability, scalability, performance, observability, automation, incident response, capacity planning, and operational risk management. The role develops high-availability solutions, supports production readiness, troubleshoots complex issues, applies cloud and DevOps practices, improves monitoring and resilience, and mentors junior engineers.

Lead Site Reliability Engineer responsible for application reliability, scalability, performance, and production readiness. Designs high-availability systems, automates operational and incident-response workflows, manages cloud infrastructure, monitors system health, performs troubleshooting and root-cause analysis, supports capacity planning, and drives proactive reliability improvements. The role also establishes operational standards, supports compliance and risk mitigation, conducts quality reviews, documents best practices, and mentors junior engineers.

Lead Site Reliability Engineer responsible for ensuring application reliability, scalability, availability, and performance. The role designs high-availability systems, automates operational processes, manages observability and monitoring, troubleshoots incidents, conducts capacity planning, supports incident and change management, mitigates operational risks, and mentors junior engineers.

Lead Site Reliability Engineer responsible for ensuring application reliability, scalability, performance, and operational continuity. Designs high-availability systems, automates operational and incident-response processes, manages cloud infrastructure, monitors observability data, troubleshoots complex issues, performs capacity planning, supports incident and change management, and drives proactive reliability improvements. The role also establishes operational standards, supports production readiness, contributes to risk mitigation and compliance, and mentors junior engineers.

Lead site reliability engineering for Mastercard’s global applications and platforms. Ensure high availability, scalability, performance, observability, and operational continuity through automation, monitoring, capacity planning, incident response, troubleshooting, and risk management. Establish production-readiness standards, support developers with resilient software practices, conduct postmortems and quality reviews, and mentor junior engineers.

Lead reliability engineering for Mastercard’s production applications and platforms. Design high-availability, scalable systems; automate operational processes and incident response; monitor metrics, logs, and traces; troubleshoot complex issues; conduct capacity planning, performance optimization, and post-mortems; manage operational risk and compliance; establish reliability standards; and mentor junior engineers.

Lead reliability engineering for Mastercard applications and platforms by ensuring high availability, scalability, performance, and operational continuity. Design production-ready systems, automate operational and incident-response workflows, manage observability, capacity, monitoring, and cloud infrastructure, and troubleshoot complex issues. Apply DevOps and IT service-management practices, conduct post-mortems and quality reviews, mitigate operational risk, establish reliability standards, and mentor junior engineers.

Lead site reliability engineering for Mastercard applications and platforms, ensuring high availability, scalability, performance, and operational continuity. Responsibilities include automation, scripting, observability, capacity planning, incident response, troubleshooting, root-cause analysis, change management, risk mitigation, compliance, production readiness, documentation, quality assurance, and mentoring junior engineers.

Design, build, test, and maintain scalable data engineering solutions, including automated releases, ETL processes, data models, real-time pipelines, monitoring, legacy migrations, and security strategies. Transform raw data using business logic, support machine learning and business intelligence workloads, and produce technical documentation. The role requires extensive experience with cloud platforms, SQL, databases, data warehousing, Spark, Databricks, Airflow, Kubernetes, Docker, Python, and related data technologies.

Lead a global Site Reliability Engineering organization responsible for enterprise platform reliability, availability, observability, incident response, automation, cloud modernization, Kubernetes operations, and production readiness. Manage SRE leaders and engineers, establish reliability standards and SLOs, improve release validation and operational excellence, drive infrastructure modernization across AWS, GCP, and Azure, and lead major incident response and continuous improvement initiatives.

Investigate complex customer escalations involving Datadog Database Monitoring, lead technical calls, and perform root-cause analysis. Debug Datadog Agent integrations and database environments across cloud and self-hosted deployments. Partner with Engineering and Product to improve integrations, code, telemetry, documentation, and releases. Create runbooks and debugging frameworks, deliver training and office hours, mentor Global Support Engineering, and advocate for customer needs.

Design, build, and operate enterprise-scale infrastructure platforms; write and review production code; own reliability, performance, security, and cost; run on-call rotations and respond to incidents; use AI-native engineering practices to accelerate development and automation; collaborate on technical decisions and decompose ambiguous problems into production-ready systems.

Lead development of scalable streaming and aggregation solutions using Java, Spark, Scala, Kafka, Hive and Hadoop. Design and implement microservices with Spring Boot, Go and web services (SOAP/REST). Work with RDBMS (Oracle) and NoSQL, CI/CD pipelines, and Linux/UNIX environments. Produce documentation, collaborate across teams, and communicate progress to leads and senior management.

Lead development of scalable streaming and aggregation solutions using Java, Go, Spark, Scala, Kafka and Hadoop ecosystem. Design and implement microservices and web services, work with RDBMS/NoSQL data, apply CI/CD, ensure application security, collaborate across teams, and produce documentation and architecture artifacts.

Lead development of scalable streaming and aggregation solutions using Java/Go, Spark/Scala, Kafka and Hadoop ecosystem; build microservices with Spring Boot, integrate relational and NoSQL data stores, follow CI/CD and Agile practices, document designs, and ensure application security.

Design, build, and maintain scalable streaming and aggregation solutions using Java, Go, Spark, Scala, Kafka, Hive and Hadoop. Develop microservices and web services (SOAP/REST) with Spring, interact with relational (Oracle) and NoSQL stores, implement CI/CD pipelines, ensure application security, produce documentation, and collaborate across teams through the software development lifecycle.

Lead development of scalable streaming and aggregation solutions using Java, Go, Spark, Scala, Kafka, Hive and Hadoop. Build microservices with Spring, integrate RDBMS and NoSQL, implement CI/CD and application security, collaborate across teams, and document systems for knowledge sharing.

Lead design and implement scalable streaming, aggregation and microservice solutions using Java, Go, Spark, Scala, Kafka and Hadoop ecosystem. Build APIs (SOAP/REST), work with RDBMS and NoSQL, apply CI/CD and application security, collaborate across teams, and produce technical documentation.

Lead development of scalable streaming and aggregation solutions using Java, Spark, Scala, Kafka, Hive and Hadoop. Design and implement microservices and web services (SOAP/REST) with Spring, integrate distributed and relational data stores, apply CI/CD and Agile practices, ensure application security, collaborate across teams, and produce documentation and architecture diagrams.

Lead design and implement scalable streaming, aggregation, and microservices solutions. Develop backend services using Java and Go, data pipelines (Spark/Scala/Kafka/Hive/Hadoop), and RDBMS/NoSQL integrations. Collaborate across teams, produce documentation, follow Agile CI/CD processes, and ensure application security in Linux/UNIX environments.

Lead the design and delivery of scalable streaming and aggregation solutions using Java, Go, Spark, Kafka and Hadoop. Build microservices with Spring Boot, integrate distributed and relational data stores (Oracle/NoSQL), apply CI/CD and Agile practices, ensure application security, create technical documentation, and collaborate across teams to meet project objectives.

Lead development of scalable streaming and aggregation solutions using Java/Go, Spark/Scala, Kafka, Hive/Hadoop. Build microservices with Spring, REST/SOAP, integrate RDBMS (Oracle) and NoSQL, apply CI/CD, Linux operations, and application security. Collaborate across teams, document designs, and communicate progress to leads and management.

Partner with sales to qualify and close opportunities by delivering technical presentations, demos, and proof-of-concepts. Provide technical expertise during pre-sales, assist onboarding and troubleshooting, gather customer feedback for product, and collaborate across teams to resolve issues. Support customers and partners while traveling up to 25% and communicating fluently in Spanish and English.

Provide deep technical support to customers and partners for MongoDB deployments: troubleshoot architecture, performance, recovery, and security; advise on best practices; collaborate with product and engineering teams; contribute to tooling and diagnostics; mentor new engineers and work closely with ISV partners to ensure joint customer success.

Provide advanced technical support to large MongoDB customers, resolving architecture, performance, recovery, security, database, cloud, and infrastructure issues. Advise customers on best practices for operating MongoDB at scale, collaborate with product and development teams, and build internal support tools for diagnostics, benchmarking, and performance analysis. The role requires strong troubleshooting, communication, customer service, teamwork, and the ability to learn quickly.