Red hat Software Engineer - Fullstack 

India, Karnataka, Bengaluru 

325110510

Job Summary

You’ll help 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.

What you’ll do

• 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.

• Cross-Functional Collaboration: Work closely with engineering, product, and design teams to align technical priorities and drive impactful AI initiatives.

• Mentorship: Guide and mentor engineers, fostering a culture of technical excellence, collaboration, and rapid execution.

• Demonstrate proficiency in Kubernetes for container orchestration and scalable deployments.

• Mentor senior engineers and contribute to a culture of technical excellence, velocity, and pragmatic decision-making

• 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.

What you’ll bring

• 10+ years of software engineering experience

• Strong background in Python and background in C, C++, Go or Rust.

• Proficiency in RHEL or other Linux distributions.

• 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.

Nice to have

• 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.

• Experience in early-stage product incubation or 0→1 product delivery

• Contributions to internal AI platforms, model evaluation frameworks, or observability for AI systems

This is a rare opportunity to help shape how our company brings AI innovation to life - bridging research and real-world usage at a moment when speed, safety, and product quality matter most. If you're energized by rapid iteration, high autonomy, and making AI tangible for millions, we’d love to talk.

• Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm

• Knowledge of AI frameworks, such as PyTorch and/or TensorFlow

• Familiarity with containerization and orchestration

• Understanding of Open Source development models

• Experience with test-base development and agile/scrum methodologies