Red Hat

Technical Account Manager

• Execute Day 2 Platform Operations: Provide hands-on administration, integration support, and maintenance for Red Hat Enterprise Linux environments. Manage system patching, version upgrades, performance tuning, and overall platform stability.
• Onsite Presence: Work onsite daily at the customer facility in Colorado Springs, CO, functioning as a seamless extension of their IT and engineering operations.
• Proactive Issue Prevention: Perform technical reviews, system health checks, and capacity planning. Identify, troubleshoot, and resolve OS-level issues before they impact mission-critical deployments.
• Customer Advocacy: Gain a deep understanding of the customer's infrastructure architecture, security postures, and strategic mission goals to serve as their primary Red Hat advocate.
• Cross-Functional Collaboration: Partner closely with Red Hat Engineering, Product Management, and Technical Support teams to debug, test, and resolve complex platform issues.
• Strategic Guidance: Advise the customer on current and future Red Hat infrastructure capabilities, standard operating procedures, and life-cycle management.
• Case Management: Manage customer support cases, maintain clear documentation, and deliver value by sharing resolutions and best practices through a defined knowledge management process.

Operations Technical Account Manager – Platform, TS/SCI Clearance Required

DevOps Engineer

• Design, write, and maintain software (primarily in Python and Golang) that automates the deployment, monitoring, and maintenance of Red Hat managed services.
• Onboarding of new services onto our OpenShift-based platform
• Adhering to cloud-native design principles & best practices to ensure reliability, scalability, and security
• Contribute to documents, like standard operating procedures (SOPs) and playbooks, that assist in issue resolution and new-service onboarding.
• 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.
• Participate in an Agile Scrum team that scopes, prioritizes, and allocates work items.
• Participate in an on-call rotation that is responsible for responding to service incidents.

Site Reliability Engineer, Python, AWS, Openshift/Kubernetes

• Design, write, and maintain software (primarily in Python and Golang) that automates the deployment, monitoring, and maintenance of Red Hat managed services.
• Onboarding of new services onto our OpenShift-based platform: adhering to cloud-native design principles & best practices to ensure reliability, scalability, and security; contribute to documents, like standard operating procedures (SOPs) and playbooks, that assist in issue resolution and new-service onboarding.
• 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.
• Participate in an Agile Scrum team that scopes, prioritizes, and allocates work items.
• Participate in an on-call rotation that is responsible for responding to service incidents.

Senior Site Reliability Engineer – OpenShift-Based Platform, Python, AWS, OpenShift, Kubernetes

Consultant

• Manage assigned project tasks and deliverables, ensuring timely completion and adherence to quality standards
• Participate actively in client interactions, building rapport and effectively communicating technical information
• Troubleshoot limited to moderately complex technical issues and escalate challenging problems to project leadership and or senior consultants when necessary
• Provide an excellent customer support experience for our customers
• Work with key customers both on-site and remotely to build a relationship of trust and confidence between Red Hat and the customer’s engineering, development, and operations teams.
• Become an expert in one or more Red Hat solutions like Red Hat OpenStack Platform or Openshift Platforms

Full-stack Engineer

• Develop, integrate, and test NFV features on Red Hat OpenStack Platform, focusing on advanced networking technologies (Open vSwitch, SR-IOV, DPDK).
• Develop advanced networking tools in C
• Write automation scripts using Python and Ansible to streamline NFV deployments and configurations.
• Develop and Implement automatic test scenarios alongside the open-source community.
• Collaborate with cross-functional teams to define and implement solutions that meet customer requirements, particularly for telecom use cases.
• Work with tools such as OS-Net-Config to manage network configurations in NFV environments.
• Debug and resolve complex issues related to NFV, networking, and cloud infrastructure, with an emphasis on performance and reliability.
• Stay up-to-date with advancements in NFV and cloud technologies to continuously improve and innovate our solutions.
• Contribute to open-source NFV projects, particularly within the OpenStack ecosystem.
• Participate in Agile processes, including sprint planning, daily stand-ups, and retrospectives.

Senior Software Engineer – Red Hat OpenStack NFV Architecture

• Design and implement features, bug fixes, and infrastructure automation for the GCP HCP platform using Go and Kubernetes
• Work within an agent-augmented development workflow: decompose work into well-specified tasks, guide AI agents through implementation, and rigorously review agent-generated code and tests
• Write and maintain custom linters, structural tests, and CI gate checks that enforce architectural boundaries and prevent drift — for both human and agent contributors
• Contribute to the team's structured documentation system (design documents, architecture decision records, AGENTS.md context files) that serves as the source of truth for AI agents and humans alike
• Build and maintain the observability, deployment pipelines, and automation that support multi-region managed OpenShift clusters on GCP
• Participate in peer code reviews with a focus on correctness, security, and adherence to established architectural constraints
• Own test strategy for the features you deliver — design test plans, write unit and integration tests, and ensure end-to-end coverage across the platform's multi-region architecture
• Troubleshoot complex issues across distributed systems spanning GKE host clusters, HyperShift control planes, and customer workloads
• Participate in on-call rotations to support production managed services
• Mentor peers and contribute to a culture of continuous improvement in both technical craft and agent-augmented workflows

Senior Software Engineer – GCP Hosted Control Planes

• Lead the design of the GCP HCP platform architecture, including multi-region scalability, multi-tenancy and isolation, automated lifecycle management, and operational resilience
• Design and evolve the team's harness engineering infrastructure: the system of architectural constraints, custom linters, structural tests, CI gates, and feedback loops that enable AI agents to produce reliable work at scale
• Define and maintain the team's documentation architecture — a structured knowledge base that serves as the source of truth for both agents and engineers, treating AGENTS.md as the table of contents with deep references into design documents, architecture decision records, and operational runbooks
• Decompose complex system goals into well-bounded building blocks suitable for agent-driven implementation; evaluate when agent-generated approaches are sound and when they introduce unacceptable risk
• Identify and address architectural drift, entropy, and emergent quality issues across a large, agent-maintained codebase — designing systematic 'garbage collection' processes to fight decay
• Lead architectural discussions across the HyperShift project, Cluster API communities, GCP platform integrations, and internal Red Hat teams
• Establish and enforce patterns for secure, maintainable, and observable systems — defining the module boundaries, dependency hierarchies, and interface contracts that constrain the solution space for both humans and agents
• Mentor senior engineers in harness engineering practices: crafting effective specifications, designing structural constraints, building agent-friendly documentation, and developing critical review skills for agent output
• Define quality bars, test strategies, and operational readiness criteria for agent-produced features, collaborating with Product Management and technical support to ensure production standards are met
• Serve as an escalation point for complex customer issues and production incidents beyond front-line technical support, applying deep platform knowledge to diagnosis and resolution
• Participate in on-call rotations to support production managed services
• Maintain a visible technical leadership presence in the Kubernetes, OpenShift, and GCP communities

Principal Software Engineer – GCP Hosted Control Planes

Technical Project Manager

• Initiate and manage strategic and complex projects, assessing financial impact, risks, and opportunities.
• Develop and execute communication strategies for client and project team serving as the key communication point between clients, consulting teams and organizational departments
• Implement and Lead agile practices, acting as a change agent with strong leadership.
• Coordinate cross-functional team meetings using best practices.
• Align with the Resource Management Office to manage staffing and project closeout activities.
• Collaborate with product owners to refine backlog and release plans.
• Coach and mentor project teams on processes, project goals, deadlines and best practices
• Establish effective change management processes and assess change impact.
• Facilitate Scrum ceremonies, including backlog grooming, sprint planning, and retrospectives.
• Monitor and report key achievement toward outcomes and key metrics including backlog, burn-down charts, and velocity.
• Resolve technical and operational issues while maintaining professionalism.
• Develop expertise in Red Hat’s technologies.
• Travel up to 50% as required.

Senior Technical Project Manager – FSI Consulting

User Researcher

• Contribute to a shared repository of AI-driven UX research tools that augment and scale the research workflow.
• Assist with evaluating AI output quality – assessing AI-generated research artifacts for accuracy, tone, bias, and interpretive validity.
• Query and analyze the existing participant database (SQL, R, or Python) to identify sampling biases, demographic gaps, and representation issues.
• Manage and improve recruitment infrastructure– participant panels, scheduling workflows, tooling, templates.
• Maintain and evolve the team’s standards and best practice documentation.
• Partner with the Senior Researcher to build and maintain a structured research insights repository.
• Conduct primary research as part of ongoing research programs (benchmarking, UX measurement, continuous interviews).
• Conduct research using existing data sources – survey backlogs, customer feedback repositories, support tickets, prior study findings – to surface patterns and generate new insights.

UX Researcher – AI

• AI research tooling development
• Contribute to a shared repository of AI-driven UX research tools that augment and scale the research workflow.
• Design evaluation rubrics for AI output quality – assessing AI-generated research artifacts for things like accuracy, tone, bias, and interpretive validity.
• Iterate on tools based on measurable performance criteria, balancing automation with methodological rigor.
• Integrate research tooling into the software development lifecycle (SDLC)
• Query and analyze the existing participant database (SQL, R, or Python) to identify sampling biases, demographic gaps, and representation issues.
• Develop data-driven recruitment strategies that address identified gaps.
• Design and validate surveys and screening instruments to qualify participants.
• Report findings accurately using statistical methods appropriate to the data types involved.
• Transform qualitative and quantitative research data into atomic, structured units suitable for cross-system consumption.
• Define and maintain the schema and taxonomy that make qualitative findings machine-readable and queryable.
• Enable downstream systems (AI tools, dashboards, cross-functional workflows) to leverage research findings without manual retrieval.
• Ensure data quality and consistency standards across the repository.
• Conduct research using existing data sources – survey backlogs, customer feedback repositories, support tickets, prior study findings – to surface patterns and generate new insights.
• Design and execute UX benchmarking studies using standardized instruments to establish baselines and measure change over time.
• Pair qualitative findings with behavioral analytics or benchmark data to triangulate insights and strengthen evidence.

Senior UX Researcher – AI

• Participate in the FASTER Program, a comprehensive 12-month program designed to provide you with the deep technical knowledge, customer engagement skills needed to excel.
• Gain hands-on experience with Red Hat's portfolio, learn from seasoned experts, and contribute to real-world customer solutions from day one.
• Assist more experienced members of the Services Delivery team as they support the on-site delivery, implementation, and adoption of Red Hat technology.
• Enhance your professional capabilities through real-world experiences working directly with customers and participating in skill development opportunities.

Junior Consultant

• Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs, use cases, and ensure product and testing fulfills those requirements
• Collaborate with Quality Engineers to develop and implement comprehensive unit, integration, and E2E 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.
• Leverage AI-driven testing frameworks to automate test case generation, optimize test execution, identify potential edge cases, and enhance overall test coverage and reliability.
• 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.

Principal Software Engineer – Llama Stack, Testing

Marketing

• Own partner communications strategy end-to-end: develop and execute integrated campaigns aligned to key business priorities, driving measurable partner engagement and pipeline growth.
• Drive partner action, not just awareness: design programs that move partners to act—whether enabling certifications, launching co-marketing, or progressing deals.
• Translate complexity into clarity: turn technical and strategic updates into simple, compelling narratives tailored to different partner audiences and tiers.
• Build and activate multi-channel campaigns: deliver coordinated communications across newsletters, webinars, web, social, and sales channels.
• Collaborate across a global ecosystem: partner with product, sales, marketing, and enablement teams to identify priority messages and bring them to market.
• Lead content quality and storytelling: Create polished, high-impact assets—from written communications to executive-ready presentations.
• Measure what matters: Track and analyze engagement metrics (e.g., open rates, CTR, content performance) and translate insights into optimization and strategy.
• Operationalize consistency at scale: Manage a rolling editorial calendar aligned to launches, events, and partner initiatives across regions.
• Enable global reach: Work with regional teams to localize communications and scale delivery through translation and AI-enabled processes.

Ecosystem Marketing Manager

Artificial Intelligence

• Work collaboratively within the engineering team to build the components that power the Red Hat AI platform
• Implement features and bug fixes for AI platform components using Python
• Write clean, maintainable, and well-documented code adhering to team standards
• Develop comprehensive unit tests and contribute to integration testing pipelines
• Proficiently leverage AI-assisted development tools to accelerate coding, testing, and documentation workflows
• Collaborate with senior engineers to understand technical requirements and translate them into working software
• Participate actively in code reviews to ensure code quality and learn best practices from senior team members
• Participate in agile ceremonies (sprint planning, stand-ups) and contribute to task estimation
• Actively learn and apply new AI/ML concepts and technologies to support the team's research implementation tasks

Software Engineer – AI/ML

Technical Writer

• Work closely with content strategists, documentation program managers, engineering project teams, support teams, and other stakeholders to create and maintain high-quality documentation
• Prioritize and deliver customer-focused documentation aligned to established processes
• Provide feedback to other technical writers to improve the quality and consistency of our content
• Work with quality engineering (QE) and development to improve the accuracy of your documentation
• Address customer feedback, and promote continuous improvement of the documentation experience
• Contribute to the achievement of team goals through completion of tasks
• Learn to use our internal documentation toolchain, including the publishing platform and issue tracking tools
• Keep up to date on changes to our offerings, customer use cases, support issues, and business strategy
• Devote time to research and increase your understanding of your product area, including related trends and topics in artificial intelligence (AI), machine learning (ML), and machine learning operations (MLOps)