Senior Technical Audit Analyst Cork jobs at Red Hat in Ireland, Cork

What will you do?

• Lead the design, execution, and continuous enhancement of business, system, and process-based controls to minimize legal and compliance risks within partner activities.

• Navigate and optimize compliance across Red Hat's diverse partner ecosystem, including channel partners, technology integrators, ISVs, OEMs, and cloud providers.

• Act as a trusted advisor to senior leadership across Partner Ecosystem, Sales, Operations, and Finance, driving best practices that uphold regulatory compliance and corporate integrity.

• Develop ecosystem-wide compliance frameworks that scale across different partner types and business models.

• Oversee and optimize existing partner compliance processes and controls, leveraging data-driven insights to enhance efficiency and effectiveness.

• Map compliance requirements across the entire partner ecosystem lifecycle, from onboarding through contract renewal and termination.

• Coordinate compliance efforts across Red Hat's multi-tiered partner ecosystem, ensuring consistent standards.

• Design ecosystem-specific compliance training programs that address the unique risks and requirements of different partner segments and verticals.

• Foster cross-ecosystem collaboration on compliance initiatives, facilitating knowledge sharing and best practice adoption among partner communities.

• Collaborate with IT teams to drive the integration, implementation, and testing of compliance-related enhancements within CRM and PRM solutions.

• Ensure compliance tools and processes integrate seamlessly across Red Hat's partner ecosystem technology stack and third-party platforms.

• Manage the compliance exception review process, including regular assessments of process deviations and approvals.

• Supervise the Partner Quote Inspection program, ensuring ongoing compliance monitoring and risk assessment.

• Drive ecosystem-wide compliance metrics and reporting, providing visibility into partner compliance health across all business segments.

What will you bring?

• 5+ years of experience working in a compliance function (e.g., specialist, analyst, auditor)

• Deep understanding of partner ecosystem dynamics, including channel conflict resolution, partner tiering strategies, and multi-partner collaboration models.

• Proven track record of implementing compliance programs across complex partner ecosystems with diverse business models and geographic footprints.

• Understanding of the risks associated with corruption, bribery, and fraud.

• Exceptional organizational skills with the ability to juggle multiple simultaneous projects

• Familiarity with third-party vetting, pricing controls, and risk-based analysis.

• Knowledge of ecosystem partnership agreements, including technical integrations, go-to-market strategies, and joint business planning processes.

• Ability to work independently with a high degree of discipline and initiative

• Demonstrated ability to influence and drive compliance adoption across diverse ecosystem stakeholders with varying levels of technical and business sophistication.

• Experience collaborating with ecosystem development, partner marketing, and alliance management teams to embed compliance into business processes.

• Strategic mindset with the ability to balance ecosystem growth objectives with compliance and risk management requirements.

The salary range for this position is $117,560.00 - $194,070.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave

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 will you do?

• Stakeholder Collaboration: Act as a key liaison between business stakeholders (including Sales, Finance, Operations, and Customer Support) and technical teams to ensure a shared understanding of priorities and requirements.

• Requirements Gathering & Analysis: Lead efforts to elicit, analyze, validate, and document business requirements for new features and process improvements within the Order to Revenue lifecycle. This includes conducting interviews, workshops, and data analysis.

• Process Mapping & Gap Analysis: Define and document current-state and future-state business processes. Perform gap analysis to identify opportunities for improvement, automation, and streamlining of the OTR flow.

• Backlog Refinement: Work closely with product owners and development teams to refine and prioritize the product backlog.

• Agile & JIRA Expertise: Thrive in an agile environment, actively participating in all scrum ceremonies

• Testing & Quality Assurance: Execute test cases and test scripts to ensure that developed solutions meet business requirements. Assist in the preparation of test plans and collaborate with QA teams to support comprehensive testing efforts.

• Documentation: Create and maintain clear and comprehensive documentation, including business requirement documents, process flows, user stories, and training materials.

What will you bring?

• Proven experience as a Business Analyst, preferably within an Order to Revenue, Order to Cash (O2C), or similar value stream.

• Demonstrated expertise in stakeholder management, with the ability to effectively communicate and negotiate with individuals at all levels of the organization.

• Strong experience in gathering, analyzing, and documenting business requirements for complex software development projects.

• Hands-on experience with JIRA and a solid understanding of agile methodologies (Scrum, Kanban).

• Experience in defining and documenting business requirements, conducting gap analysis, and proposing process improvements.

• Practical experience in executing test cases, writing test scripts, and assisting with the creation of test plans.

• Excellent analytical and problem-solving skills, with a keen ability to trace issues to their source and recommend viable solutions.

• Previous experience with ERP systems such as Oracle or SAP is highly preferable.

• Exceptional written and verbal communication skills, with the ability to translate technical concepts into easily understandable business language.

• A bachelor's degree in Business Administration, Information Systems, or a related field is preferred.

Primary Job Responsibilities

• Contribute to the PyTorch upstream community.

• Contribute to the integration of PyTorch into the RHEL AI and OpenShift AI products.

• Work closely with teams within AI Engineering, where collaboration opportunities present themselves.

• Adhere to architectural and design principles that help improve overall development within the group.

• Learn the architectural concepts that are key to the development of our product set.

Required Skills

• Experience contributing to Open Source projects.

• Experience using and contributing to AI related projects.

• Existing PyTorch contributions a strong plus .

Bonus Skills

• Experience with test-base development and agile/scrum methodologies.

The salary range for this position is $181,440.00 - $299,260.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave

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