Remote Platform Engineer

Insight Global
Woonsocket, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 121K

Job location

Woonsocket, United States of America

Tech stack

JavaScript
Artificial Intelligence
Cloud Computing Security
Continuous Integration
DevOps
Distributed Systems
Design of User Interfaces
Machine Learning
Software Engineering
TypeScript
Google Cloud Platform
React
Istio
Backend
Kubernetes
Enterprise Integration
Data Management
Front End Software Development
Virtual Agents
REST
Terraform
Docker
Microservices

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

Requirements

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 * 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

Benefits & conditions

$50-58/hour

Exact compensation may vary based on several factors, including skills, experience, and education.

Apply for this position