Machine Learning Engineer jobs in Ireland

What you will accomplish:

• Proactive Monitoring : Continuously monitor the health of eBay's critical services to identify and address potential issues before they escalate.

• Solution Development : Collaborate with Architecture, Engineering, and Operations teams to develop solutions that ensure high site availability, reliability and performance.

• Collaborative Problem Solving : Work closely with partner teams to resolve recurring technical issues, onboard new alerts, and develop high-quality Standard Operating Procedures (SOPs).

• Enhance Monitoring Tools : Build and improve tools for monitoring and mitigating site incidents, and conduct reliability audits and tests to strengthen eBay’s reliability and incident management capabilities.

• Incident Management

What you will bring:

• 4+ years of professional experience in software engineering, ideally in backend or platform teams

• Proficiency in one or more programming languages (e.g., Java, Go, Python)

• Strong incident management and leadership skills, with excellent technical triage and troubleshooting abilities, especially during crises.

• Familiarity with cloud platforms, container orchestration (e.g., Kubernetes), and infrastructure-as-code tools

• Experience with observability stacks (e.g., Prometheus, Grafana, ELK, OpenTelemetry)

• Strong interpersonal and communication skills to thrive in fast-paced, dynamic environments.

: As part of the operation staff members of the SEC work a fixed shift. This position is for a day shift (7:00 AM to 5:00 PM) in our Dublin, Ireland location. Team members will work four days in a row in 10 hour shifts, with no on call responsibilities.

As a on the Dublin team, you’ll play a key role in building, optimizing, and maintaining our Hadoop-based data warehouse and large-scale data pipelines. This is a hands-on engineering role where you’ll collaborate closely with data engineers, analysts, and platform teams to ensure our data platforms are scalable, reliable, and secure.

What you will accomplish

• Design, develop, and maintain robust, scalable data pipelines using Hadoop and related ecosystems.

• Implement and optimize ETL processes for both batch and streaming data needs across analytics platforms.

• Collaborate cross-functionally with analytics, product, and engineering teams to align technical solutions with business priorities.

• Ensure data security, reliability, and compliance across the entire infrastructure lifecycle.

• Troubleshoot distributed systems and contribute to performance tuning, observability, and operational excellence.

• Continuously learn and apply new open-source and cloud-native tools to improve data systems and processes.

What you will bring

• 6+ years of experience in data engineering, with a strong foundation in distributed data systems.

• Proficiency with Apache Kafka, Flink, Hive, Iceberg, and Spark SQL in large-scale environments.

• Working knowledge of Apache Airflow for orchestration and workflow management.

• Strong programming skills in Python , Java (Spring Boot) , and SQL across various platforms (e.g., Oracle, SQL Server).

• Experience with CI/CD, monitoring, and cloud-native tools (e.g., Jenkins, GitHub Actions, Docker, Kubernetes, Prometheus, Grafana).

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

The cool part

• Work on one of eBay’s most impactful data infrastructure platforms, supporting global analytics and insights.

• Join a collaborative, innovative engineering culture that embraces open-source and continuous learning.

• Solve complex, high-scale data challenges that directly shape how eBay makes data-driven decisions.

• Design and maintain scalable IAM and Kubernetes RBAC solutions to govern secure access for users and services.

• Build automation and diagnostic tools in Go and Java to streamline platform operations and boost reliability.

• Partner with global security teams to embed regulatory requirements such as NYDFS and GDPR into development workflows.

• Architect observability frameworks that deliver deep visibility into application health and security posture.

• Identify and close system-level gaps to improve platform resilience and security compliance.

• Champion secure design principles and operational excellence across the cloud platform.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• 5+ years of hands-on experience with Linux systems, including deep knowledge of kernel internals (scheduling, memory management, file systems, networking).

• Strong programming skills in C++, Go, or Python.

• Proven experience with IAM systems and Kubernetes RBAC; understanding of compliance frameworks such as GDPR and NYDFS.

• Expertise in managing containerized workloads and building scalable, secure cloud systems.

• Problem-solver with the ability to identify cross-functional issues and drive end-to-end resolutions.

• Experience mentoring others, leading small-scale initiatives, and collaborating across teams.

• Security-first mindset in both design and operations.

• Collaborate with multi-functional engineering teams to deliver the platform and contribute to open-source projects.

• Work on building a very resilient distributed system at eBay's edges that can proxy all eBay traffic and also eBay's service mesh for all of our services with unparalleled observability.

• Work with other developers in different phases of system development.

• Build and debug large scale distributed systems and help with observability and monitoring of the system.

• Contribute your knowledge and experience of the networking topology (TCP and HTTP stack) to solve any network related issues encountered by the system, deploying and troubleshooting large scale infrastructure.

• Hands-on development experience with strong analytical skills.

• Familiarity and proven understanding of networking technologies like BGP, anycast is a must, experience with TCP/IP networking and familiarity with TCP, UDP, SSL and HTTP Protocols.

• Hands-on experience with various programming languages like C/C++, GoLang to build the system and also build automation around it for better observability and remediation, any experience with kernel programming and experience with Python is a plus!

• Distributed systems with design and implementation of network communication using container networking technologies.

• Multi-threaded programming: Telemetry infrastructure to accumulate and export statistical information.

• Excellent debugging and triaging skills and strong expertise in agile development.

• Familiarity with L4 Networking layer and Kubernetes is a plus.

Key Responsibilities

• Execute all stages of the physical design flow, including:

• Synthesis

• Floorplanning

• Place and Route (P&R)

• Clock Tree Synthesis (CTS)

• Routing

• Static Timing Analysis (STA)

• Power and clock distribution

• Reliability and noise analysis

• Perform verification and signoff tasks such as:

• Formal equivalence verification

• Static and dynamic power integrity checks

• Layout verification

• Electrical Rule Checking (ERC)

• Analyze design results and recommend fixes for violations to support current and future product architectures.

• Optimize designs for power, performance, and area (PPA).

• Contribute to the development and automation of physical design methodologies and flows.

Required Skills & Experience

• Low power design techniques

• Physical/structural design flow

• Timing constraints

• Timing closure and physical clock design

• Proficiency with industry-standard EDA tools

• Bachelor’s (NFQ 8) or Master’s( NFQ 9)degree in Engineering or equivalent

The role within the Hadoop team involves:

• Scope : Overseeing and enhancing Hadoop-related projects to meet eBay's extensive data scale requirements, creating customer-facing tools, and ensuring smooth integration with other systems.

• Impact : Directly influencing eBay's data strategy by enhancing data processing capabilities, improving system performance, and driving innovation across the organization
  

What you will accomplish:

• Enhance System Availability and Scalability: Spearhead efforts to optimize Hadoop-related projects, ensuring the system is highly available and scalable to meet eBay’s growing data demands. Your work will be pivotal in maintaining uninterrupted service and accommodating future growth, supporting eBay’s strategic objectives.

• Drive High-Impact Projects: Lead initiatives that directly contribute to eBay’s ability to efficiently process and analyze vast amounts of data. Your enhancements will bolster system performance and reliability, vital for sustaining eBay's competitive edge.

• Develop Innovative Solutions: Create and refine customer-facing tools that improve user experience and operational efficiency. Your contributions will streamline data access and management, making it easier for stakeholders to leverage insights.

• Enhance Integration: Ensure seamless integration of Hadoop systems with other platforms, fostering a cohesive data ecosystem. Your work will enable cross-functional teams to reduce the manual work, utilize data insights effectively, driving informed decision-making across the organization.

What you will bring:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• Strong programming skills in languages commonly used with Hadoop, such as Java, Scala, Python. Knowledge of common algorithms and data structures to write efficient and optimized code.

• Familiarity with Linux/Unix systems, including shell scripting and system commands. Understanding of networking principles, as Hadoop often operates in distributed environments. Overall, the candidate is expected to have analytical skills to tackle complex distributed system challenges and optimize solutions.

• [Optional]Experience with big data technologies and frameworks, contribution to related open source projects is a plus.