Red Hat

Translator

• Post-edit machine translations of Red Hat technical content into Mandarin, including software manuals and knowledge base articles
• Translate software user interfaces
• Work collaboratively with other translators
• Liaise with Red Hat's technical writers, software engineers, and subject-matter experts to clarify and improve translations
• Use feedback from users of Red Hat's technical documentation in Mandarin to improve translations

Technical Translator, Mandarin

Consultant

• Guide customers in building scalable, optimally managed solutions and adaptable to technological improvements using Red Hat technologies
• Continuously learn, grow, and adapt to new skills and technologies
• Travel weekly, Monday-Thursday, to client locations

Senior Automation Consultant – TS/SCI Clearance Required

Vice President

• Execute on Red Hat’s transformative vision to deliver an exceptional customer experience for hybrid cloud, leading to increased adoption of Red Hat technologies, inclusive of our Ecosystem
• Collaborate closely with all North America Commercial Sales leaders and align efforts to ensure optimal outcomes for our customers and partners
• Establish and execute strategies to ensure Services in North America Commercial are aligned to the Red Hat subscription footprint and growth.
• Drive Consulting, Training and Technical Account Management in business across the geography.
• Accelerate our focus on Customer-centric Value as we evolve business models from prepaid annual to consumptive models accommodating enterprise commitments empowered by world class Red Hat Services offerings
• Collaborate with Americas Services Leader as well as other in-region functional groups, for consistent strategy and execution
• Define, manage, and optimize a consistent, proactive, and cross-functionally aligned operating model, leading to consistent customer value realization, by design
• Achieve success measure and KPI’s on Services P&L responsibilities and NPS

Vice President, Commercial Services

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
• Determine the balance of courses, assessments, and certification exams required
• Manage the "Plan-Build-Run-Retire" lifecycle for all learning assets
• Continuously evaluate the portfolio against industry trends and stakeholder feedback
• Seek aligned channels to promote PTL learning assets across stakeholder groups
• Prioritize development efforts based on business impact, resource availability, and technical urgency
• Guide the transition from "idea" to "development," ensuring alignment on learning objectives and target audience

Learning Portfolio Manager

Senior Consultant, OCP Infrastructure

Technical Project Manager

• Lead and manage multiple concurrent project workstreams with minimal supervision
• Develop and execute strategic plans to meet objectives, scope, and sprint goals, ensuring compliance with project management standards and methodologies
• Act as a guardian of data integrity by leading a governance framework that ensures our data is usable and secure
• Eliminate reporting noise and implement a single-source-of-truth across Salesforce data assets through rigorous role-based access controls and standardized data definitions
• Lead the strategy and execution for migrating front-end visualization assets as our business intelligence tools may evolve, ensuring value-integrity through the shift
• Shift the organization from ad-hoc reporting to scalable data products that drive action and empower associates with deep customer context and operational intelligence
• Pilot and implement AI-driven analytics, including Natural Language Querying, Predictive Insights, and anomaly detection within Salesforce and BI tools to accelerate decision-making
• Partner with stakeholders and Business Intelligence & Engineering teams to translate high-level business vision into actionable technical requirements
• Audit the existing report inventory to eliminate value-eroding noise and foster a culture of innovation and optimization
• Advise stakeholders on impact measurements and provide clear visibility through advanced data products
• Exercise good judgment to identify and resolve project-related issues and risks

Technical Project Manager – Data & Governance

Backend Engineer

• Drive the design of backend systems across multiple RHACS subsystems, ensuring scalability and fault-tolerance
• Drive cross-functional alignment with product management, design, and peer engineering teams
• Lead the adoption of agentic development practices - defining how AI tools, context registries, and automated workflows reshape the SDLC from intake through release
• Establish testing practices, architectural patterns, and development methodologies that multiple teams can adopt
• Improve how teams build and ship software by introducing new methodologies, including AI-accelerated approaches
• Identify and drive adoption of new technologies and frameworks
• Coach and mentor Principal Engineers across organizations through code reviews, design feedback, and guidance
• Own complex, multi-month technical initiatives, navigating ambiguity and tracking real-world usage beyond shipping

Senior Principal Software Engineer, Backend – Advanced Cluster Security

• Lead the design and implementation of backend services and core system components within the RHACS platform.
• Build and evolve critical services, automation tooling, and Linux-based data collection systems with a strong focus on scalability, reliability, and performance.
• Influence architectural decisions and contribute to the long-term technical direction of the platform.
• Own the quality of your code and ensure systems are thoroughly tested, observable, and resilient.
• Champion a “design-first” engineering culture by driving design document practices and structured technical reviews.
• Build and improve automated testing frameworks for complex distributed systems.
• Proactively identify technical gaps, emerging risks, and future scalability challenges in Kubernetes security.
• Evaluate and introduce new technologies, frameworks, and languages that improve developer productivity and system robustness.
• Partner closely with product managers, designers, and engineers to define and refine RHACS features.
• Collaborate across teams to ensure alignment on architecture, priorities, and delivery timelines.
• Diagnose and resolve complex customer issues involving Kubernetes, Linux internals, and distributed systems.
• Provide deep technical insight and guidance to improve system reliability and customer experience.
• Mentor engineers through code reviews, design feedback, and technical guidance.
• Foster a culture of continuous learning, accountability, and engineering excellence.

Senior Software Engineer, Backend – Advanced Cluster Security

• Guide customers in building scalable, optimally managed solutions and adaptable to technological improvements using Red Hat technologies.
• Continuously learn, grow, and adapt to new skills and technologies.
• Travel weekly, Monday-Thursday, to client locations

Senior OpenShift Consultant – TS/SCI Clearance Required

Platform Engineer

• Contribute production-grade software to upstream open source projects including HyperShift and OpenShift, owning features end-to-end from design and implementation through deployment and long-term lifecycle in production
• Bring a product and systems lens to architecture decisions, ensuring designs account for scalability, operability, and real-world production constraints from the start
• Operate as a full-stack systems owner, participating in on-call rotations and taking end-to-end responsibility for diagnosing, fixing, and preventing production issues
• Drive improvements that eliminate entire classes of failures by turning operational learning into durable product and platform enhancements
• Design and evolve observability (metrics, logs, traces) and SLOs as part of the software lifecycle, ensuring systems are measurable, debuggable, and resilient by design
• Raise the technical bar across the team through design docs, code review, pairing, and knowledge transfer during complex engineering work and incidents
• Work in a high-autonomy engineering team where you identify the most impactful problems and lead them from concept through implementation and production adoption
• Partner as a peer with product and platform engineering teams to influence architecture, challenge assumptions, and ensure systems are built for scale, reliability, and long-term operability
• Integrate AI-assisted development tools (GitHub Copilot, Cursor, Claude Code) into daily workflows for design, implementation, and debugging — using human judgment to maintain high engineering standards while increasing delivery velocity and system quality

Senior Software Engineer – HCP Platform Engineering

Machine Learning Engineer

• Contribute to the design, development, and testing of new features and solutions for Red Hat AI Inference
• Innovate in the inference domain by participating in upstream communities
• Develop and maintain distributed inference infrastructure leveraging Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments.
• Develop and maintain system components in Go and/or Rust to integrate with the vLLM project and manage distributed inference workloads.
• Develop and maintain KV cache-aware routing and scoring algorithms to optimize memory utilization and request distribution in large-scale inference deployments.
• Enhance the resource utilization, fault tolerance, and stability of the inference stack.
• Develop and test various inference optimization algorithms.
• Actively participate in technical design discussions
• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
• Collaborate with other engineering and cross-functional teams to deliver on engineering deliverables
• Communicate effectively to team members to ensure proper visibility of development efforts
• Be taught, coached, and mentored by senior members of the team
• Provide timely and constructive code reviews

Machine Learning Engineer, Distributed vLLM

Full-stack Engineer

• Build and release vLLM wheels across multiple hardware backends and CPU architectures, managing complex native dependency chains including PyTorch, Triton, and other accelerator-specific libraries
• Design and maintain CI/CD pipelines spanning multiple platforms including GitHub Actions, GitLab CI, and Buildkite for build, test, and release workflows
• Manage and scale multi-cloud GPU infrastructure using Terraform and Ansible, including both bare-metal and Kubernetes-based compute runners
• Own the model validation pipeline, orchestrating accuracy evaluation, performance benchmarking, tool-calling validation, and smoke testing across dozens of LLMs on both bare metal and OpenShift
• Develop and maintain the Python tooling and automation that powers the build, packaging, validation, and release processes
• Drive adoption of agentic AI and intelligent automation to streamline engineering workflows, accelerate debugging, and reduce toil across the team

Principal/Senior Principal Software Engineer

Solutions Engineer

• Play an active role applying Kubernetes and Red Hat OpenShift to customer use cases
• Develop and integrate changes in multiple projects using open source methodologies to provide end-to-end solutions
• Troubleshoot, analyze bug root causes, and provide resolutions
• Review design, enhancement proposal, and patches from other team members and other collaborators
• Work with various engineering team to ensure products are developed and tested correctly
• Publicize the team's work through 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

Principal Integration Engineer – Sovereign Cloud

• Create and guide new feature development; contribute to high profile and strategic open source projects in Kubernetes SIGs
• Create/submit patches for bug fixes and review patches from other contributors
• Continuously test your component/code on all levels and continuously improve our CI system
• Provide support for your component/code in production for internal and external customers
• Improve current solutions and workflows; prefer appropriately simple, repeatable solutions over more complex and failure-prone ones
• Communicate and work effectively with all levels of associates including senior management
• Document and demonstrate solutions by developing documentation, diagrams, code comments, and clear code where necessary
• Collaborate with other engineers across the Red Hat OpenShift engineering team and work alongside members of the Documentation, Support, and Quality Engineering (QE) teams

Software Engineer – API Server, OpenShift

• Architect and lead the implementation of new features and joined solutions for Red Hat AI & Cloud with Nvidia cutting edge technologies: GPU, DPU and more
• Explore deep code integration into various Red Hat products, ensuring optimal integration between the Red Hat portfolio, hardware accelerators and partners
• Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met
• Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to Red Hat partners and customers
• Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings
• Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats
• Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling