Red Hat

Full-stack Engineer

• Architect, design, document, and develop applications in Python and frameworks like LangChain, LangGraph, LLamaStack
• Architect and lead the implementation of Agentic AI applications
• Architect and lead the implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI
• Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines
• Develop and optimize retrieval-augmented generation (RAG) pipelines
• Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic
• Mentor, influence, and coach a distributed team of engineers
• Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts
• Review code merge requests from other team members for new features
• Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc.
• Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards
• Resolve bugs, performance problems, and other issues with production applications

Senior Software Engineer – AI

Compliance

• Serve as the expert to recommend and implement data compliance solutions and processes across Red Hat’s Marketing Technology and global GTM systems.
• Translate complex global data privacy and compliance regulations into actionable, technical specifications for implementation across platforms and processes.
• Modernize processes and improve efficiency by automating manual compliance processes and influencing the design and implementation of the compliance agentic solutions in partnership with Data & AI engineering teams.
• Consult on the compliance implications and requirements for the development and implementation of AI solutions for Sales, Marketing, and Partner teams, ensuring adherence to compliance guardrails.
• Maintain the knowledge repository and enablement resources for data compliance, partnering with global legal and privacy teams.
• Partner with the legal, privacy and compliance team to stay informed of the latest data privacy and security regulations across all geographies.
• Partner with IBM and Red Hat enterprise legal and compliance stakeholders in addressing queries or escalations as required.

Senior Privacy Compliance Analyst, Marketing Technology

• 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

Senior Principal Software Engineer, AI Inference

• Contribute to the architecture, design, development, and testing of new features and solutions for MLFlow on Red Hat OpenShift AI
• Innovate in the MLOps domain by participating in upstream communities, particularly Kubeflow and MLFlow
• Ensure non-functional requirements including security, resiliency, performance, and maintainability are met
• Lead by example in writing and maintaining comprehensive unit, integration, and end-to-end tests, and help teammates adopt strong testing and CI/CD practices
• Use CI/CD best practices to deliver solutions efficiently into RHOAI
• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
• Collaborate with product management, other engineering, and cross-functional teams to analyze and clarify business requirements
• Communicate effectively with stakeholders and team members to ensure proper visibility of development efforts
• Give thoughtful and prompt code reviews that uphold quality and maintainability standards
• Represent RHOAI in external engagements including industry events, customer meetings, and open source communities
• Mentor and guide other engineers, including coaching them on quality ownership, testing strategies, and development best practices
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling

Senior Software Engineer – AI Experiment Tracking

Artificial Intelligence

• Setting the overarching vision, objectives, and strategies for a group of engineering teams and engineering managers.
• Lead and inspire a distributed team of individual contributors and managers, fostering a collaborative and innovative work environment.
• Engage with the AI and machine learning open source communities such as vLLM, llm-d, and other open source communities.
• Work with product management and engineering teams to develop technology roadmaps and schedules, and communicate these schedules externally.
• Work with cross-functional engineering managers and teams on documentation, product management, and quality assurance to coordinate tasks necessary for releasing enterprise-quality MLOps software.
• Working closely with the technical leads and scrum leads to direct the team in agile development.
• Meet and present technical presentations to customers and partners as necessary.
• Mentor and nurture team members in their career development, and professional growth.
• Recruit and build a world class engineering team.

Senior Manager, AI Inference

Architect

• Analyze adoption metrics to identify trends and suggest improvements
• Co-facilitate adoption workshops and document actionable outcomes
• Update success plans based on customer feedback
• Troubleshoot basic technical adoption blockers such as configuration errors
• Collaborate with ASAs to align account plans with adoption best practices

Adoption Architect 2

Machine Learning Engineer

• Research and implement techniques for LLM inference and LLM optimizations.
• Conduct experiments to evaluate the impact of optimization methods on model accuracy, latency, and throughput.
• Collaborate with researchers and engineers to integrate optimizations into real-world machine learning workflows.
• Document findings and contribute to technical reports, blog posts, or research publications.

Machine Learning Systems Research Intern

Sales

• Deliver on the Ecosystem bookings and revenue goals in alignment of global and geo specific go to market plan
• Drive the growth and maturity of our Distribution Partner network across all segments and products in line with the business needs.
• Accurately forecast business, and take the necessary actions to achieve results
• Educate Red Hat internal stakeholders on our partners’ capabilities and on the best ways to work with distribution worldwide
• Foster a highly collaborative environment between Ecosystem Partners and Red Hat.
• You will be the liaison and ambassador for our Ecosystem partners inside Red Hat
• Help your team enable and empower the partner community to successfully sell and deliver Red Hat solutions to end users
• Work closely with the Ecosystem Program and IT to deliver program and tooling to improve distribution autonomy
• Coach, develop and enable a global and multi-cultural team of Partner Account Managers and other functions
• Develop, motivate and lead an organization that operates with the confidence and understanding of the market to move decisively and take advantage of emerging opportunities
• Collaborating actively with peers on the leadership team to drive Red Hat’s performance and excellence

Director, Partner Ecosystem Sales – Global

Community Manager

• Develop and execute the open source community engagement strategy for financial services and the use cases that will advance open source, and Red Hat’s technology and business strategy.
• Rationalize Red Hat’s community commitments in the FSI vertical and influence the community with Red Hat’s opinionated technical choices to further Red Hat’s technology and business strategy.
• Connect with and facilitate connections between stakeholders from the Field, Ecosystem Engineering, Partner Enablement, and the FSI stakeholders to community members to facilitate developer outreach into FSI.
• Facilitate strategic partnerships as identified as part of the strategy.
• Provide regular, proactive updates to OSAIPO leadership.
• Conduct data gathering and analysis of vertical community players, such as key open source projects, industry standards bodies, vertical consortias, and software foundations.
• Understand and model scenarios of regulatory impacts.
• Automate the scanning of industry news to understand OSS implications.
• Develop and update the competitive landscape map.
• Provide a trusted, neutral perspective partnering with the Office of the CTO.
• Help stakeholders understand how to create the most value while determining how to allocate finite resources.
• Provide technical and architectural guidance. Act as an expert across a group of projects in a particular area and steer collaboration across projects.
• Work independently to set and achieve objectives tied to functional targets and goals.
• Propose new techniques and methods based on business context that have impact within the function.
• Coordinate activities of other team members (team lead) to ensure successful completion of projects and assignments, and mentor/provide guidance and advice to new team members.
• Work on varied and non-routine projects and resolve complex issues with creative solutions that impact overall function.
• Develop and maintain productive working relationships within sales and CTO function and lead cooperative efforts among teams to deliver results.
• Interact with senior colleagues and customers frequently

Principal Community Architect – FSI

Security Engineer

• Own security and compliance functions for digital sovereign products
• Lead technical discussions across teams and with third-party auditors
• Support continuous improvement through automation
• Mentor junior team members
• Serve as an evangelist of security and compliance

Senior Product Security Engineer

Consultant

• Serve as a subject matter expert at the customer site, addressing technical, development, or strategic IT requirements
• Understand industry practices and Red Hat's policies, procedures, and values
• Demonstrate good judgment in selecting the better methods to obtain solutions
• Implement and integrate Red Hat's open and hybrid cloud solutions including Red Hat OpenShift and other Red Hat's offerings
• Collaborate with project and customer team members to meet timelines and goals
• Contribute to project documentation and diagrams, including ticket or bug management
• Mentor and share your knowledge with customers
• Define and promote the adoption of automation techniques and DevOps processes to improve the cloud life cycle, including infrastructure and application uptime, availability, and time-to-market
• Implement solutions using cloud technologies, design principles, integration points, and automation methods

• Play an active part in upstream and downstream projects related to the team you are in
• Working in the Agile Scrum methodology, take end-to-end ownership of specific areas including upstream development, downstream validation and packaging, L3 troubleshooting and support.
• Take shared responsibility around problem resolution, ongoing quality engineering, as well as handling vulnerabilities and other backports targeted at released versions.

Senior Software Engineer – Linux, Filesystems, Storage

• Play an active part in upstream and downstream projects related to the team you are in.
• Working in the Agile Scrum methodology, take end-to-end ownership of specific areas including upstream development, downstream validation and packaging, L3 troubleshooting and support.
• Take shared responsibility around problem resolution, ongoing quality engineering, as well as handling vulnerabilities and other backports targeted at released versions.

Principal Software Engineer – Linux, Filesystems, Storage

DevOps Engineer

• Contribute code to increase the scalability and reliability of the service
• Contribute software tests and participate in peer review to increase the quality of our codebase
• Help and develop peers’ capabilities through knowledge sharing, mentoring, and collaboration
• Participate in a regular on-call schedule, including occasional paid weekends and holidays
• Practice sustainable incident response and blameless postmortems
• Resolve customer issues escalated from the Red Hat Global Support team
• Work within a small agile team to develop and improve SRE software, support your peers, plan and self-improve
• Demonstrate proficiency in utilizing LLMs for various tasks
• Proactively utilize AI-assisted development tools for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality
• Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle

Senior Site Reliability Engineer – OpenShift, Kubernetes, AWS, Golang, Linux

Affiliate Manager

• Accelerate territory/POD business, serving as the trusted partner advisor for Red Hat, collaborating directly with account teams to identify customer needs, whitespace opportunities and account expansion areas where partner capabilities, skills and strategic alignment drive faster time-to-value and increase deal size.
• Achieve territory/POD quota for new acquisitions, expansions and renewals by strategically integrating partners into account and opportunity plans, helping progress the joint deal pipeline.
• Develop joint account strategies and plans with Red Hat account owners and their respective teams at our partners, to guide customer demand, identify new use cases and integrate partners into account planning and execution.
• With a high degree of accuracy, forecast and drive partner deal pipeline progression, deal status and performance.
• Guide Red Hat’s revenue and customer value by connecting aligned partners with the right capabilities to solve customer needs through lead sharing and demand-generation activities.
• Identify and integrate partners into account and territory plans, assisting in all partner selling motions (to, through and with).
• Apply an industry focus in territories where partner ecosystems are prevalent.
• Liaise with PAMs to guide pipeline velocity, highlighting where partners need to connect to Red Hat’s teams and programs to advance opportunities.
• Partner with Red Hat and partner marketing teams for targeted, territory-specific demand generation and joint account-based marketing (ABM) campaigns.
• Partner with Customer Success and Renewals teams to ensure customer time to value is optimized.
• Advocate within Red Hat to include partners in opportunities that expand customer value and business scope.
• Interlock with the Red Hat Ecosystem team to identify partner capability and capacity gaps in the account base.