Red Hat is looking to accelerate the development of AI prototypes by ensuring seamless platform integration, CI/CD pipelines, and other critical infrastructure to enable high-speed experimentation and iteration.
Requirements
Strong background in Python and background in C, C++, Go or Rust.
Proficiency in RHEL or other Linux distributions.
Experience with cloud platforms such as GCP, AWS, or Azure.
Experience with building and packaging Python projects, package managers (dnf, pip), and build systems (cmake, meson)
Experience in working with upstream projects and Open Source communities.
Knowledge of AI frameworks, such as PyTorch and/or TensorFlow
Familiarity with containerization and orchestration
Responsibilities
Platform Support and Optimization: Design and maintain scalable, secure, and efficient platforms to support AI Catalyst team initiatives, ensuring smooth integration of AI models and workflows.
Infrastructure Management: Provide expertise in Kubernetes and cloud platforms (GCP, AWS, Azure) for container orchestration, scalable deployments, and real-time operations.
Partner with the AI Catalyst team to identify bottlenecks, remove blockers, and optimize workflows for faster delivery of AI prototypes.
Technical Leadership: Lead the implementation of critical systems (APIs, orchestration, observability, deployment) to ensure speed, reliability, and maintainability.
Demonstrate proficiency in Kubernetes for container orchestration and scalable deployments.
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.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
Other
10+ years of software engineering experience
Communication Skills: Strong ability to communicate technical tradeoffs and bring clarity to ambiguous situations
Passion for AI Innovation: Enthusiasm for enabling AI initiatives that drive real-world impact and accelerate prototyping efforts.
Ability to move fast without compromising quality, thriving in environments where rapid iteration and high ownership are the norm
PoC Experience: Proven ability to work on and deliver successful Proof of Concepts or initiatives, showcasing the ability to rapidly prototype and validate ideas.
