Field Edge Deployment Engineer (AI & Product)

Quindar; Los Angeles (CA); On-site; USD 155,000 - 175,000; Full time

Benefits offered by this job

Unlimited PTO

Health insurance

401(k) matching

Annual offsite

Job summary

Quindar invites a Forward Deployed Product Engineer to join a hands-on role blending software and field operations. You will deploy and support mission-critical solutions at customer sites, translate field feedback into product direction, and work across the stack from infrastructure to frontend.

You’ll apply AI to accelerate delivery and shape next-generation products. In this position you’ll travel to customer centers, collaborate with product and engineering, and develop repeatable playbooks

Qualifications

• Bachelor’s degree in Computer Science, Aerospace, Engineering, or related field.
• 3+ years of software engineering, with a focus on customer-facing roles.
• Proven track record deploying or supporting production software in mission-critical environments.
• Proficiency in Python; experience with TypeScript/Java is a plus.
• Experience with AI tools such as Cursor, Amp, and ChatGPT.
• Experience with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• Excellent communication and problem-solving skills.
• Certifications (e.g., AWS Certified Solutions Architect, CKAD) are a plus.

Responsibilities

• Configure and deploy software in customer environments for reliability and performance.
• Troubleshoot issues across backend APIs, cloud infra, databases, and frontend.
• Travel to customer sites and embed with operations teams.
• Prototype products and iterate quickly with live customer data and feedback.
• Translate field insights into roadmap priorities and integrations.
• Collaborate with Product & Engineering to turn prototypes into production code.
• Develop playbooks for repeatable integrations and maintain documentation.

Skills

Python

TypeScript/Java

AI tools

Communication

Cloud platforms

Docker/Kubernetes

Education

Bachelor’s degree in CS/Engineering

Tools

Cursor

Amp

ChatGPT

Job description

Quindar invites a Forward Deployed Product Engineer to join a hands-on role blending software and field operations. You will deploy and support mission-critical solutions at customer sites, translate field feedback into product direction, and work across the stack from infrastructure to frontend.

You’ll apply AI to accelerate delivery and shape next-generation products. In this position you’ll travel to customer centers, collaborate with product and engineering, and develop repeatable playbooks