Information Systems Engineer M/f/d jobs at Red Hat in Ireland, Cork

What you will do:

• Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs and use cases.

• Create robust AI/ML software tools to enable AI Application development and contribute to a healthy open source community.

• Develop and implement comprehensive unit, integration, and end-to-end tests to guarantee the reliability and performance in the upstream project, maintaining CI/CD workflows in GitHub, and ensuring downstream quality.

• Participate in AI-assisted code reviews, utilizing tools that provide real-time feedback, identify potential bugs, security vulnerabilities, and adherence to coding standards, contributing to a more thorough and efficient review process.

• Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

• Create and maintain clear, concise upstream technical documentation including API references and user guides and collaborating with our internal tech writers to create robust downstream documentation.

• Evaluate and integrate the latest advancements in AI/ML technologies and toolkits to improve existing systems and develop new innovative solutions.

What you will bring:

• 10 years of advanced Python development experience as a Software Engineer in Open Source communities with experience in AI/ML

• Advanced knowledge designing robust and scalable APIs used in highly scaled and performant Distributed Systems

• Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.

• Advanced knowledge creating automation for GitHub, using GitHub Actions or related continuous integration tools.

• Experience developing, deploying or maintaining On-prem or Cloud Infrastructure

• Advanced knowledge developing unit, functional, and end-to-end (E2E) test cases and automation.

• Ability to quickly learn and use new tools and technologies.

The following will be considered a plus:

• Experience with Security, Observability, Performance or Scale

• Experience working with Kubernetes/OpenShift and containers.

• Knowledge and interest in developing tools and solutions using RAG or Agentic workflows

• Understanding of DevOps methodology, scrum, and/or Jira.

• Knowledge with hardware accelerators, such as CUDA and ROCm

• Bachelor's degree in computer science or related discipline.

As a Technical Support Engineer, you will provide an important level of technical assistance to ensure that our highly-valued customers get the most out of the product. This position extends well beyond product support as you will take on the role of trusted partner to our customers. You will regularly collaborate with the customer's support teams to troubleshoot complex and challenging issues and join troubleshooting and technical discussions sessions to address technical topics. In this role you'll work closely with application and engineering teams to address multi-product issues and must have an acute understanding of the impact of mission critical activities. This is a highly skilled position that requires an engineer with initiative.

What you will do

• Act as the direct contact and adviser for customer inquiries about Red Hat OpenShift Virtualisation via ticketing tool, by phone and using remote access tools

• Deliver an exceptional customer experience by using professional communication, applying existing knowledge, and deep troubleshooting to resolve a variety of issues within the designated service-level agreement (SLA)

• Quickly analyze issues to identify problem areas and effectively communicate corrective actions and resolutions to customers in a professional and timely manner

• Collaborate with other support engineers and other internal teams and external parties during the problem resolution process

• Ability to multitask, prioritize, and work under pressure

• Outstanding troubleshooting skills and passion for problem solving and investigation

• Capability to front-ending the customer and internal stakeholders at the senior management level - Document diagnostic steps and create reusable solutions for future incidents

• Ability to work as part of a team and focus on customers and solving their issues

• Be available to perform weekend shift duties on a rotational schedule when needed

• Contribute to regional or global initiatives or projects

• Share your knowledge gained from troubleshooting issues by contributing to the global Red Hat knowledge management system; present troubleshooting instructions and solutions to other engineers within the domain

What you will bring

• Professional experience with configuring and troubleshooting OpenShift or Kubernetes with all of its components such as logging, monitoring, networking, storage and Service Mesh

• Experience with Openshift Virtualisation including migration to Openshift Virtualisation

• Professional experience with container related technologies like D ocker, Podman, LXC, CRI-O, runc

• Experience handling technical issues when escalated

• Experience with automation tools or scripting languages like Ansible, Bash, or Python

• Professional experience with networking technology through server, switch, or appliance configuration, key networking protocols, tunneling technologies, switching, and routing

• Proficient in Linux operation and administration

• Passion for problem-solving and investigation of the most complex customer and technical problems

• Good written and verbal communication skills in English

Following is considered a plus:

• Experience with OpenShift clusters in Baremetal is a plus

• Having any of the following Red Hat Certifications is a plus: Red Hat Certified Engineer (RHCE), Containers & Kubernetes (DO180)/Operating a Production Kubernetes Cluster (DO280), Scaling Kubernetes Deployments in the Enterprise (DO380)

• Knowledge of Linux Kernel is a plus

• Experience with Ceph storage and virtualisation - Hands-on experience with Python and scripting languages, like Perl and Bash

• Strong networking knowledge; networking security is a plus

What you will do:

• Work across OpenStack and OpenShift platforms to validate system-level architectures tailored for AI and ML workloads.

• Design, develop, and maintain automated test frameworks and pipelines for performance and compatibility testing with AI accelerators.

• Collaborate with partners and hardware vendors to evaluate and integrate support for their accelerator solutions.

• Participate in agile planning, including creating and reviewing test plans, improving test coverage, and enhancing test reliability and performance.

• Investigate issues, perform root cause analysis, and contribute fixes or enhancements upstream when needed.

• Develop, maintain, and validate Cloud Validated Architectures to ensure stable and performant AI workloads.

• Represent the team in upstream communities (OpenStack - Nova, Cyborg, Watcher), Red Hat partner engagements, and technical enablement efforts.

• Mentor junior engineers and support leadership in coordinating the team’s quality engineering activities.

What you will bring:

• 5+ years of experience in Quality Engineering, Software Engineering, or Systems Integration.

• Proven experience with AI/ML workload testing, accelerator enablement, or performance benchmarking in cloud environments.

• Solid experience with test automation tools and frameworks; proficiency in Ansible, Python , Bash, or equivalent.

• Strong understanding of Linux , OpenStack , and/or OpenShift /Kubernetes.

• Hands-on experience working with hardware accelerators (e.g., NVIDIA, AMD, Intel) and their software stacks.

• Strong communication skills and ability to collaborate across teams and with external partners.

• Experience writing, maintaining, reviewing automated system tests , and contributing to upstream projects is a plus.

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, a related technical discipline, or equivalent work experience.

The following will be considered a plus:

• Familiarity with AI stack and workloads

• Exposure to CI/CD infrastructure (Zuul, Jenkins, GitLab CI, etc.)

• Familiarity with Kubernetes, SR-IOV, DPDK, and other high-performance networking/compute technologies

• Contributions to open-source QE or infrastructure projects

• Experience in collaborative partner projects or customer co-development

What will you do:

• Serve as a subject matter expert to conduct a design workshop -

• Serve as a subject matter expert to work in collaboration with the SA (Presale) and account manager to identify customer requirements, use case, pain points to conclude the customer requirements to final scope of work to propose to the customer.

• Serve as a subject matter expert to work in collaboration with the SA (Presale) and account manager to identify customer requirements, use cases, pain points and design appropriate architecture solutions to the customer together with the Solution Architect (presale) team.

• Onsite or Remote Implement/deployment Red Hat Products Solution/Technology

• Work on diverse problems where analysis of data requires evaluation of many different factors

• Apply your experience and understanding of industry practices and Red Hat's policies and procedures

• Show good judgment in selecting methods and techniques to get the right solutions

• Manage and engage with senior-level stakeholders at the C-level and one level below

• Get involved early in the sales cycle to explore, review, and shape deal opportunities

What will you bring:

• Primary skill is a container platform for design architecture and implementation/configuration

• 5+ years of experience designing and configuring any Container Platform, others Cloud Technology (private, public, hybrid and multi cloud), OpenStack, OpenSource Products/Technology, experience on Red Hat product/solution is an advantage/a plus.

• 3+ years of experience in any container platforms for design, implementation and configuration, experienced in Red Hat OpenShift container platform is an advantage/a plus.

• Strong knowledge on Infrastructure related i.e network, security, storage, database and others

• Good knowledge on others open source which equivalent to OpenShift(Container Platform), OpenStack Platform, CEPH, SiteScope, Ansible, middleware products is an advantage/a plus

• Excellent communication skills

• Demonstrated ability to understand/use automation tools and configuration management languages like Puppet, Chef, Red Hat Ansible Automation, and Bash is an advantage/ a plus

• Experienced on CI/CD and DevOps processes is an advantage/ a plus

• Ability to understand technical challenges of the cloud technology and ability to demonstrate how certain cloud functionality will solve business challenges

• Willingness to travel across Southeast Asia (ASEAN).

What you will do:

• Proactively monitor the maintenance of all IT-related systems

• Coordinate troubleshooting of frontline issues in the communications room and with the deployed audiovisual equipment

• Platform management to include video conferencing, digital signage, and print infrastructures

• Communicate with internal and external stakeholders on problem resolution

• Serve as a key technical engineering point of contact for office projects, including new offices, moves, expansions, refits, and integrations of company acquisitions

• Interpret customer needs to help develop comprehensive AV solutions

• Hardware procurement related to office IT build outs for office moves and expansions, as well as ongoing maintenance of office infrastructure

• Provide feedback on, and contribute to new office build standards

• Designer, integrator and support vendor management

What you will bring:

• Effective written and verbal skills in English

• Effective communication skills with technical and non-technical audiences

• Proven expertise in an IT hardware support role, working in a technical area and interacting with customers and executives

• An understanding of AV infrastructure as well as audio and video control systems such as Crestron, Kramer and Extron

• Some experience with IT communications room architecture, IP networks, switching and routing and physical network cabling infrastructure, AV infrastructure, and printing tools

• Experience in IT industry with a multi-platform background including Mac and Windows

• Proven record of experience working with external technology vendors in project execution

• Knowledge of the systems used in Audiovisual solutions Unified Communications (UC) platforms such as Google Meet, Cisco WebEx, Zoom, Slack

• Proactive and driven in your work.

• Experience in establishing priorities, working independently, and execution of objectives without supervision

• attention to details

• Ability to handle multiple tasks / projects at once

Nice to have:

• Experience in signal extension such as HDBaseT, AV-over-IP and Dante

• Working knowledge of AV/IT monitoring software

• Experience in configuring audio DSP equipment

• Working knowledge in Python scripting and automation

What you will do:

• Proactively monitor the maintenance of all IT-related systems

• Coordinate troubleshooting of frontline issues in the communications room and with the deployed audiovisual equipment

• Platform management to include video conferencing, digital signage, and print infrastructures

• Communicate with internal and external stakeholders on problem resolution

• Serve as a key technical engineering point of contact for office projects, including new offices, moves, expansions, refits, and integrations of company acquisitions

• Interpret customer needs to help develop comprehensive AV solutions

• Hardware procurement related to office IT build outs for office moves and expansions, as well as ongoing maintenance of office infrastructure

• Provide feedback on, and contribute to new office build standards

• Designer, integrator and support vendor management

What you will bring:

• Effective written and verbal skills in English

• Effective communication skills with technical and non-technical audiences

• Proven expertise in an IT hardware support role, working in a technical area and interacting with customers and executives

• An understanding of AV infrastructure as well as audio and video control systems such as Crestron, Kramer and Extron

• Some experience with IT communications room architecture, IP networks, switching and routing and physical network cabling infrastructure, AV infrastructure, and printing tools

• Experience in IT industry with a multi-platform background including Mac and Windows

• Proven record of experience working with external technology vendors in project execution

• Knowledge of the systems used in Audiovisual solutions Unified Communications (UC) platforms such as Google Meet, Cisco WebEx, Zoom, Slack

• Proactive and driven in your work.

• Experience in establishing priorities, working independently, and execution of objectives without supervision

• attention to details

• Ability to handle multiple tasks / projects at once

Nice to have:

• Experience in signal extension such as HDBaseT, AV-over-IP and Dante

• Working knowledge of AV/IT monitoring software

• Experience in configuring audio DSP equipment

• Working knowledge in Python scripting and automation

Job Responsibilities

• Lead the architecture and implementation of MLOps/LLMOps systems within OpenShift AI, establishing best practices for scalability, reliability, and maintainability while actively contributing to relevant open source communities

• Design and develop robust, production-grade features focused on AI trustworthiness, including model monitoring, bias detection, and explainability frameworks that integrate seamlessly with OpenShift AI

• Drive technical decision-making around system architecture, technology selection, and implementation strategies for key MLOps components, with a focus on open source technologies like KServe and TrustyAI

• Define and implement technical standards for model deployment, monitoring, and validation pipelines, while mentoring team members on MLOps best practices and engineering excellence

• Collaborate with product management to translate customer requirements into technical specifications, architect solutions that address scalability and performance challenges, and provide technical leadership in customer-facing discussions

• Lead code reviews, architectural reviews, and technical documentation efforts to ensure high code quality and maintainable systems across distributed engineering teams

• Identify and resolve complex technical challenges in production environments, particularly around model serving, scaling, and reliability in enterprise Kubernetes deployments

• Partner with cross-functional teams to establish technical roadmaps, evaluate build-vs-buy decisions, and ensure alignment between engineering capabilities and product vision

• Provide technical mentorship to team members, including code review feedback, architecture guidance, and career development support while fostering a culture of engineering excellence

Required Qualifications

• 5+ years of software engineering experience, with at least 4 years focusing on ML/AI systems in production environments

• Strong expertise in Python, with demonstrated experience building and deploying production ML systems

• Deep understanding of Kubernetes and container orchestration, particularly in ML workload contexts

• Extensive experience with MLOps tools and frameworks (e.g., KServe, Kubeflow, MLflow, or similar)

• Track record of technical leadership in open source projects, including significant contributions and community engagement

• Proven experience architecting and implementing large-scale distributed systems

• Strong background in software engineering best practices, including CI/CD, testing, and monitoring

• Experience mentoring engineers and driving technical decisions in a team environment

Preferred Qualifications

• Experience with Red Hat OpenShift or similar enterprise Kubernetes platforms

• Contributions to ML/AI open source projects, particularly in the MLOps space

• Background in implementing ML model monitoring, explainability, or bias detection systems

• Experience with LLM operations and deployment at scale

• Public speaking experience at technical conferences

• Advanced degree in Computer Science, Machine Learning, or related field

• Experience working with distributed engineering teams across multiple time zones

• Familiarity with AI governance and responsible AI practices