Job Description
We’re looking for a Senior Platform Engineer with expert level Kubernetes administration experience. You will build scalable, production‑grade agentic AI systems for a platform team. This includes designing and developing intelligent agents, contribute to knowledgebase and orchestration capabilities, building modern React-based user interfaces, and support cloud‑native infrastructure on Google Cloud Platform (GCP).
This role is ideal for a strong full‑stack engineer with experience in agent-based systems, React UI development, and Kubernetes-based cloud platforms.
Agentic AI & Platform Engineering
• Design, build, and enhance intelligent agents within an agentic AI framework
• Contribute to agent orchestration, workflows, and reasoning patterns
• Implement and maintain knowledgebase management capabilities
• Integrate agents with backend services and data platforms in collaboration with data and platform teams
Front-End Development
• Build and maintain modern, responsive UIs using React and TypeScript
• Develop interfaces for agent interaction, monitoring, and management
• Partner with backend and agent teams to deliver seamless end-to-end experiences
• Follow best practices for performance, accessibility, and maintainability
Cloud & Infrastructure
• Deploy and operate agent services in Kubernetes environments
• Provision and manage cloud resources on GCP (compute, networking, storage, IAM)
• Support CI/CD pipelines and cloud‑native deployment strategies
Collaboration & Quality
• Participate in architecture discussions and design reviews
• Write clean, maintainable, well-documented code
• Troubleshoot production issues across agents, UI, and infrastructure
• Mentor junior engineers and contribute to engineering best practices
Compensation:
$30/hour
Exact compensation may vary based on several factors, including skills, experience, and education.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
6-7 years of experience working with Kubernetes on a Machine Learning/Platform Engineering team
Strong software engineering experience, ideally with agent-based or distributed systems
Proficiency in React and modern JavaScript/TypeScript
Hands-on experience with Kubernetes (deployment, scaling, troubleshooting)
Experience working with Google Cloud Platform (GCP)
Solid understanding of REST APIs, microservices, and backend integration
Experience building and supporting production-grade systems
Familiarity with CI/CD pipelines, DevOps practices, and cloud security fundamentals
Nice to Have Skills & Experience
• Experience with AI/ML or agentic AI systems
• Knowledge of knowledgebase systems, workflow engines, or orchestration frameworks
• Experience with Docker, service mesh, or infrastructure-as-code (e.g., Terraform)
• Background building internal platforms or engineering frameworks
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.