Senior Software Engineer
About The Position
Write clean, efficient, and well-documented code, adhering to Red Hat's policies and industry standards, with a focus on secure coding practices. Lead code reviews, architectural reviews, and technical documentation efforts to ensure high code quality and maintainable systems. Adapt quickly to a modern AI technology stack, including vLLM, llm-d, Agentic AI, LLMs, PyTorch, and Kubernetes/OpenShift. Contribute high-quality code to open source projects that align with Red Hat's business interests. Work with cross-functional teams to integrate Agentic AI functionality into Red Hat’s AI product portfolio. Evaluate new AI/ML technologies proposed by product managers, including building proof-of-concept implementations and conducting gap analysis. Design and develop robust, scalable, and production-ready solutions suitable for deployment within enterprise Kubernetes environments. Engage with architects, product managers, and other stakeholders to translate complex requirements into technical specifications and deliver high-quality, user-centric features. Act as the Subject Matter Expert (SME), providing essential support and technical expertise to various teams. Participate in agile/scrum processes to help refine backlog items for clarity and technical feasibility.
Requirements
- Master's degree (U.S. or foreign equivalent) in Computer Science or related field and five (5) years of experience in the job offered or related role.
- Must have five (5) years of experience with object-oriented programming principles, secure coding practices, and design patterns utilizing languages including Python or Golang.
- Must have four (4) years of experience with microservice architecture and API development.
- Must have three (3) years of experience with: Kubernetes, OpenShift or other cloud-native technologies; leading projects, performing code reviews, and mentoring junior engineers; and CI/CD tools and version control.
- Must have two (2) years of experience contributing to a minimum of three (3) established open source projects.
- Must have one (1) year of experience with AI/ML.
Responsibilities
- Write clean, efficient, and well-documented code, adhering to Red Hat's policies and industry standards, with a focus on secure coding practices.
- Lead code reviews, architectural reviews, and technical documentation efforts to ensure high code quality and maintainable systems.
- Adapt quickly to a modern AI technology stack, including vLLM, llm-d, Agentic AI, LLMs, PyTorch, and Kubernetes/OpenShift.
- Contribute high-quality code to open source projects that align with Red Hat's business interests.
- Work with cross-functional teams to integrate Agentic AI functionality into Red Hat’s AI product portfolio.
- Evaluate new AI/ML technologies proposed by product managers, including building proof-of-concept implementations and conducting gap analysis.
- Design and develop robust, scalable, and production-ready solutions suitable for deployment within enterprise Kubernetes environments.
- Engage with architects, product managers, and other stakeholders to translate complex requirements into technical specifications and deliver high-quality, user-centric features.
- Act as the Subject Matter Expert (SME), providing essential support and technical expertise to various teams.
- Participate in agile/scrum processes to help refine backlog items for clarity and technical feasibility.
Benefits
- bonus
- commission
- equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
