דרושים Senior Commercial Attorney ב-Red Hat ב-Ireland, Dublin

Qualified candidates will be comfortable participating in discussions and decisions around technical design and architecture, release planning, automated testing, and productization. This job role is integral to ensuring that new features, bug fixes, and updates are delivered efficiently and reliably to end-users.

What you will do:

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

• Apply technology background in software engineering and systems engineering to make contributions to a Python-based midstream automation platform in the areas of CI/CD, observability, and continuous testing.

• Execute manual and automated tests for Red Hat AI midstream project/components and deliver clear status updates in a timely manner.

• Explore, identify, and document unwanted behavior, output, and bias in Red Hat AI models. Advocate for the resolution of critical issues and communicate the impact on customers to the development team(s).

• Monitor and participate in upstream AI/ML communities, evaluating new AI/ML-related technologies in the space and considering potential integrations and collaborations upstream.

• Conduct new feature research and design test cases with emphasis on model performance, scalability, automation, and bias reduction.

• Lead or contribute to technical initiatives that grow, improve, and scale our existing processes.

• Contribute to the development of the open-source projects that comprise Red Hat’s AI family of products.

• Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.

What you will bring:

• Advanced Linux administration skills, including containers

• Advanced Python development and troubleshooting skills

• Experienced with writing and reading Shell scripts (e.g. bash)

• Experienced in building and maintaining delivery pipelines and workflows with GitLab CI, GitHub Actions, or comparable technologies

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

• Understanding of DevOps methodology

The following will be considered a plus:

• Experience with Pytest.

• Experience with Ansible/Terraform

• Experience working with Kubernetes/OpenShift, troubleshooting issues with them, and working with YAML, Kubernetes controllers, and operators.

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

About the job

This is a pivotal role that encompasses both product engineering responsibilities and significant contributions to the vibrant open-source community.

This involves sharing your expertise, providing guidance on best practices, and empowering colleagues to become more proficient contributors. A significant aspect of this position involves architectural design.

You will be instrumental in defining the architectural framework for new projects and features, ensuring scalability, security, and maintainability. This requires an understanding of the technology stack and the ability to translate high-level requirements into concrete implementation plans.

From the initial conceptualization phase to the successful integration of your work upstream, you will have the opportunity to shape the future direction of the RHTAS product.

You will be expected to manage your tasks effectively and independently, while also maintaining regular and open communication with fellow team members and upstream developers.

This communication will involve both technical discussions and broader project coordination, ensuring alignment and progress. Your ability to articulate complex technical concepts clearly and concisely, both in written and verbal form, will be crucial to your success.

What you will do

• Upstream Community Contributions: Actively engage with and drive contributions within the upstream open-source communities relevant to the Red Hat Trusted Artifact Signer (RHTAS) project, particularly around AI model signing, attestations and validation , but may include any aspect of the product outside of this area. This involves undertaking new development work, conceptualizing and implementing innovative features, and addressing and resolving bug fixes reported by users or identified internally. Proactively participate in community discussions, code reviews, and contribute to documentation to ensure a collaborative and thriving ecosystem.

• Product Development, Maintenance, and Release: Take shared ownership of the complete lifecycle of the Red Hat Trusted Artifact Signer product. This includes developing new functionalities and enhancements, maintaining the existing codebase for stability and performance, and orchestrating the smooth and timely release of new versions. Ensure adherence to best practices for software engineering, including thorough testing, version control, and documentation.

• Downstream Product Efforts & Delivery: Spearhead downstream product efforts. Ensure the reliable and efficient delivery of production-ready software to customers and internal stakeholders. Drive the development of new features based on customer requirements and market trends, integrating them seamlessly into the product.

• Cross-Product Integration: Facilitate and drive cross-product integration efforts between RHTAS and other products within the Red Hat ecosystem. Collaborate with other engineering teams to understand their product functionalities and requirements, and design interfaces and integration points that ensure interoperability and a cohesive customer experience.

• Product Security Compliance: Prioritize and ensure the security compliance of the Red Hat Trusted Artifact Signer product. Conduct regular security assessments, identify potential vulnerabilities, and implement appropriate security measures to protect against threats. Stay up-to-date on the latest security best practices and compliance requirements and ensure the product adheres to them.

• Community & Product Evangelism: Act as a key advocate for both the community and the product. Engage in community evangelism through various channels, including writing blog posts, creating demonstrations, and delivering presentations at conferences and events. Share knowledge, best practices, and the value proposition of RHTAS with the broader community and potential customers.

What you will bring

• Proven experience delivering enterprise-grade software solutions.

• Deep understanding of Kubernetes architecture and its ecosystem.

• Familiarity with AI models and deployment workflows

• Some experience with supply chain security ( signatures, attestations, SBOMs , etc)

• Proficiency in the Go programming language , with experience in other relevant languages.

• Skill in designing and implementing robust CI/CD pipelines.

• Strong production troubleshooting skills and the ability to diagnose and resolve complex issues.

• Familiarity with agile development methodologies and practices.

• A strong drive for continuous learning and staying up-to-date with the latest technologies.

• Effective professional-level English communication skills, both written and verbal.

• Experience with Python or Node.js is desirable but not required.

The following are considered a plus

• Understanding of cryptographic principles including digital signatures, key lifecycle, certificate management, and robust key management practices.

• Experience with the Sigstore upstream project and its architecture.

• Proficiency in the Ansible project and its tooling, such as writing playbooks and managing configurations.

What will you do:

• Provide legal support for the quickly growing business of Red Hat in Europe, Middle East and Africa, Italy is one of Red Hat’s major markets in EMEA and will be one of the focus countries/regions (including the public sector business)

• Be responsible for the negotiation of Open Source software related contracts, including software licensing and software maintenance agreements; consulting agreements; reseller, distributor, cloud, hosting, OEM and other partner agreements

• Be responsible for the negotiation of supply agreements for the growing demand of our procurement team

• Educate customers about open source licensing and Red Hat’s subscription business model

• Design the deals with view to revenue recognition principles, support and coach sales-teams on deal structure and contract negotiations

• be the central point of contact for the roll-out of any new and updated agreements (including liaising with external counsel and translators)

• Act as interface between Sales, Operations and Finance

• Coordinate with management, as appropriate, to ensure any and all contractual matters are handled in a timely, efficient, and cost-effective manner and to ensure that processes and procedures will be developed and applied consistently

• Serve as a point of contact for legal, intellectual property and policy issues for Red Hat EMEA executives

• Serve as a trusted advisor and business partner by providing counsel and guidance for the accomplishment of overall business objectives of Red Hat, such as fostering a culture of innovation, while ensuring full compliance with applicable laws and regulations and avoiding unacceptable risks. Develop a thorough understanding of and familiarity with Red Hat's business, its people, products, technology, markets, facilities, customers and competitors to identify trends and formulate strategies accordingly

• Participate in region-specific Legal initiatives and cross-regional projects

What will you bring:

• Master degree in law, preferably with an Italian legal qualification

• The ideal candidate is admitted to the national bar or holds an equivalent qualification

• 5+ years of professional experience as an attorney/in-house lawyer, including substantial commercial transactional experience

• Knowledge of the Italian public sector business would be a plus

• Willingness to relocate to one of the above Red Hat offices, willingness to travel from time to time

• Excellent communication skills. Ability to speak, write and negotiate fluently in English, and Italian

• Excellent oral and written communication skills; acute attention to detail; excellent analytical abilities

• Ability to work independently, prioritize and execute flawlessly on multiple concurrent and often competing deliverables, whilst managing expectations of the business and meeting deadlines

• Outstanding interpersonal skills, including diplomacy and flexibility, and the ability to interface effectively and engender trust and confidence with personnel at many different levels

• Ability to work as a team member of the legal department in a scalable and accountable manner

• Demonstrating flexibility and autonomy

• Enthusiasm and "self-starter" qualities enabling him or her to manage responsibilities with an appropriate sense of urgency; desire “to make things happen”

• Exposure to a US based company and understanding of the cultural nuances would be a plus

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