Senior Software Engineer

Role Overview

• Lead the design and development of new component solutions for RHOAI.
• Provide technical guidance and innovation insights to engineering and product leadership.
• Contribute to the architecture and design of RHOAI, ensuring scalability, reliability, and an exceptional user experience.
• Define and implement policies that ensure RHOAI components are observable, secure, and scalable.
• Design cross-cutting plans to ensure consistent implementation across teams and components.
• Apply CI/CD best practices to develop and deliver high-quality software solutions.
• Contribute to and collaborate with upstream communities such as Kubeflow, MLflow, Kubernetes ensuring smooth integration and operation on OpenShift.
• Represent Red Hat by presenting at OpenShift/Kubernetes and AI/ML-related conferences, and by engaging in internal and external AI/ML communities of practice.
• Collaborate with open source communities to evaluate emerging AI, ML, and data technologies, and create integration examples with RHOAI.
• Mentor and guide engineers, fostering technical excellence and open collaboration.
• Experiment with emerging AI technologies relevant to software development, identifying opportunities to enhance existing workflows and tools.

Requirements

• Proven innovation skills and a passion for technology.
• Strong software architecture background, ensuring consistency and technical excellence across the technology stack.
• Excellent communication skills, with fluency in English.
• Solid understanding of the Linux operating system.
• Strong experience with the Go programming language.
• Demonstrated expertise in Python.
• Experience building and deploying containerized applications, including operator-based install and upgrade processes.
• Deep understanding of open source software communities and collaboration models.
• Knowledge of Kubernetes architecture, operators, and controllers.
• Experience troubleshooting complex issues in distributed systems.
• Hands-on experience developing for public cloud services (AWS, GCP, Azure).
• Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle.
• 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.
• Security background or experience integrating security best practices is a plus.
• Knowledge of the Prometheus monitoring stack is a plus.
• Bachelor’s degree or higher in Computer Science or a related field is preferred.

Tech Stack

• AWS
• Azure
• Cloud
• Distributed Systems
• Google Cloud Platform
• Kubernetes
• Linux
• Open Source
• OpenShift
• Prometheus
• Python
• Go

Benefits

• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account
• healthcare and dependent care
• Health Savings Account
• high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!