Red Hat

Architect

• Drive Generative AI and Predictive AI initiatives on OpenShift AI
• Deploy and optimize model serving using high-performance engines such as vLLM
• Build end-to-end ML pipelines using Kubeflow Pipelines for predictive AI workflows
• Manage agent-based and generative AI workloads across real-time and batch systems
• Collaborate with stakeholders to translate technical metrics into business impact

Architect – AppDev

Systems Engineer

• Create and guide development of new features and contribute to the upstream projects in Golang, Java or Python
• Integrate changes in multiple projects and services into a consumable feature
• Submit patches for bug fixes to the community and review patches from other community members
• Work with the Quality Engineering (QE) team to ensure that projects are tested correctly
• Publicize the work the team is doing via blogs, web postings, or conference talks
• Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work
• 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.

Software Engineer – Ecosystem Engineering

Customer Success Manager

• Understand customers' overall Red Hat portfolio, technical and business priorities, and success measures.
• Create and execute customer success plans with discrete projects, milestones, and actions to achieve customers’ business objectives by tasking technical execution teams.
• Identify opportunities for increased consumption, track monthly consumption against targets and plan key deployment timelines and milestones.
• In collaboration with others, apply technical knowledge and customer insights to create a migration and modernization roadmap for applicable workloads and applications.
• Orchestrate Design and Discovery Sessions to build plans for implementing solutions – governing design in line with customer business goals.
• Be the Voice of the Customer. Share insights and best practices, and connect with Engineering and Product teams to remove blockers.
• Target and resolve issues to remove impediments in order to prove the value of implementing Red Hat technologies.
• Assess the customer’s knowledge of Red Hat’s products and overall cloud readiness to support customers through a structured learning plan and ensure delivery through partners.

Customer Success Executive – Intelligence Community

Strategy

• Lead end-to-end program execution for complex data initiatives, from requirements through delivery and adoption.
• Drive cross-functional alignment across Data & AI, Finance, Sales Ops, and Incentives teams.
• Establish roadmaps, milestones, and governance models to ensure predictable and scalable delivery.
• Manage prioritization, risk mitigation, and stakeholder communication across global teams.
• Champion change management and user enablement, ensuring successful adoption of new data products and platforms.
• Integrate AI/ML and agentic frameworks into data pipelines to enhance automation, anomaly detection, and predictive insights.
• Leverage state-of-the-art technologies (e.g., LLMs, RAG architectures, intelligent agents) to modernize data workflows and user experiences.
• Partner with Data & AI teams to build scalable, explainable AI ready data products.
• Identify opportunities to augment traditional analytics with AI-powered decision frameworks.
• Drive experimentation and adoption of emerging technologies across the data ecosystem.
• Partner with Analysts, Engineers, and Operations teams to translate business requirements into scalable technical solutions.
• Act as a bridge between business and technical teams, ensuring clarity, alignment, and execution.
• Apply strong analytical thinking to convert complex data into actionable insights, identifying trends, risks, and opportunities.

Principal Data Strategy Leader

Machine Learning Engineer

• Build, optimize, and scale machine learning models
• Contribute to innovative AI-driven solutions
• Assist users in understanding ML predictions
• Collaborate with cross-functional teams to ensure successful project outcomes

Senior Machine Learning Engineer

Solutions Engineer

• Serve as the Subject Matter Expert to secure customer validation of technical solutions, supporting the account team in pre-sales engagements.
• Deliver tailored technical presentations, including deep-dive demos, workshops, and POCs, leveraging traditional and emerging tools where applicable.
• Develop technical strategies for complex opportunities, including RFx responses and architecture designs.
• Collaborate with product engineering teams to align solution designs with product roadmaps and industry advancements.
• Partner with customer success and ecosystem partners to ensure smooth post-sale adoption and expansion.
• Create reusable technical assets to scale best practices.
• Mentor junior team members on solution architecture principles and stakeholder alignment techniques.
• Represent the company in technical forums, sharing insights on product capabilities and real-world use cases.

Senior Specialist, Solution Architect

Manager

• Serve as the central point of contact between PTL and various stakeholder groups
• Drive stakeholder awareness of the learning portfolio and champion the value of enablement programs
• Foster an environment of innovative thinking by facilitating workshops and planning sessions between development teams and SMEs
• Determine the balance of courses, assessments, and certification exams required to meet technical competency goals
• Manage the "Plan-Build-Run-Retire" lifecycle for all learning assets
• Continuously evaluate the portfolio against industry trends and stakeholder feedback

Learning Portfolio Manager

LLM Engineer

• Lead Technical Strategy for Joint Offerings: Act as the primary technical lead for defining the vision of joint offerings.
• Direct engagement with NVIDIA, AMD, Intel and OEM (HPE, Dell, Lenovo) product leadership to align future roadmaps and identify strategic opportunities.
• Engage key GTM leaders to align those offerings into VAR, GSI, and ISV based offerings.
• Requirement Sourcing & Prioritization: Serve as a primary conduit to the Ecosystem Engineering team.
• You will source and prioritize the technical requirements for what needs to be architected, prototyped, or co-created, providing the strategic "why" and "what" so Engineering can execute the "how."
• Perform initial architectural scoping specifically to identify the technical gaps and requirements needed for new offerings, ensuring a smooth hand-off to engineering for detailed design.
• Lead contribution of key partner product, solution, and use-case strategies for AI Infrastructure partners in the overall AI Ecosystem strategy.
• Collaborate with the AI Tech Sales team and the AI Tech Sales Eco Global Leader to ensure that technical offering definitions are successfully transitioned into field-ready sales motions by establishing early input and ongoing feedback mechanisms.

Senior AI Infrastructure Tech Strategist

Artificial Intelligence

• Act as the primary technical lead for defining the vision of joint offerings with AI ISVs.
• Direct engagement with AI ISV product leadership and key infrastructure partner leaders to align future roadmaps and identify strategic opportunities.
• Serve as a primary conduit to the Ecosystem Engineering team.
• Perform initial architectural scoping specifically to identify the technical gaps and requirements needed for new offerings.
• Lead contribution of key partner product, solution, and use-case strategies for AI ISV partners in the overall AI Ecosystem strategy.
• Collaborate with the AI Tech Sales team and the AI Tech Sales Eco Global Leader to ensure that technical offering definitions are successfully transitioned into field-ready sales motions.

Senior AI ISV Ecosystem Tech Strategist

Developer Relations

• Create and regularly update technical learning paths for Red Hat products, ensuring technical accuracy and clarity
• Stay current with new technologies, programming languages, and software development principles
• Work closely with key stakeholders across the organization
• Monitor and engage with solutions architects and various product internal Slack channels
• Apply foresight and knowledge of industry trends and user data to prioritize learning paths
• Occasionally assist with high-impact demonstrations of products and technologies for various industry verticals

Technical Content Marketing Writer, Developer Advocate

Full-stack Engineer

• Periodically engage directly on-site with automotive customers and partners acting as a trusted technical advisor, hands-on low level system issues and performance problem solver and communication bridge between customer’s engineering team and Red Hat’s engineering team.
• Lead engagement with product stakeholders, automotive customers and partners to understand and extract use cases while collaborating with multiple teams to build an automotive platform solution.
• Scope out and decompose large, complex engineering tasks.
• Design and implement technical solutions using cross team and cross-functional collaboration to deliver these tasks.
• Recognize good industry practices and guide team and department habits to innovate on product delivery processes in order to increase quality and deliver the highest customer value, incorporating customer use cases when appropriate for example working closely with the documentation team to create first class content as part of our customer experience.
• Proactively advance the product by collaborating with the upstream communities, driving cross-functional teams and projects to make better technical and non-technical choices.
• Speak, present, and/or blog about product changes where scope is a subsystem/technical area to internal cross-functional audience, international experts or potential contributors.
• Ensure test plans for the code you create exist and that documentation is correct.

Principal Software Engineer – Customer Engagement Lead

Account Manager

• Manage and lead a team of Technical Account Managers in Singapore
• Provide mentorship, direction, and skill development to your team members to maximize engagement and develop deep technical and customer skills
• Provide input on strategies required to meet organizational goals and mentor for specific technical or process areas
• Closely working with APAC TAM Leadership Team and ASEAN Services Leadership Team for strategies and initiatives in the region
• Become a TAM champion for the sales team within the region and support TAM value proposition
• Engage with customers for delivering seamless renewals and growth
• Manage escalations in collaboration with local Sales and Services leaders and the Support Organization
• Foster cross-functional cooperation and collaboration to achieve a high level of customer satisfaction
• Participate in hiring processes and cultivate a pipeline of talented candidates
• Travel as necessary to visit customers and partners and attend conferences and other events if applicable

Manager, Technical Account Management

Cloud Engineer

• Win the confidence of our customers through the successful delivery of discovery, analysis and design workshops that shape and influence the customer’s architecture design decisions to align with the Red Hat solution.
• Lead consulting teams through successful customer pilot and production deployments, workload onboarding and ongoing lifecycle management
• Work closely with product business units, product engineering, consulting, support, and sales to ensure a world-class customer experience with Red Hat’s products.
• Contribute to the development of repeatable methodologies and tools designed to scale Red Hat’s services capabilities, promote repeatable customer engagements, and lower delivery risk.

Cloud Architect – OpenShift

Consultant

• Participate in the FASTER Program for onboarding and development
• Discover how to support customers in addressing technical challenges
• Build a support network of peers, mentors, and other Red Hatters
• Develop technical skills in Cloud, Automation, and AI solutions
• Engage in meaningful customer projects and job shadowing opportunities
• Support Sales goals to deliver customer business value with Red Hat solutions

Junior Consultant

• Contribute to the design, development, and testing of various inference optimization algorithms
• Create and manage inference serving deployment pipelines
• Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches
• Stay up-to-date with the latest advancements in the open source LLM model architecture
• Stay up-to-date of latest CPU and GPU hardware architecture and features
• Give thoughtful and prompt code reviews
• Continuous collaboration with internal and external open source comitters and contributors