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# Forward Deployed Engineer

- **Company:** Quindar Inc.
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $155,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Customer Data Management, Cursor, Python (Programming Language), Language Modeling, Software Construction, Software Engineering, Systems Integration, TypeScript, Google Cloud, Large Language Models, Agentic-AI, Containerization, Kubernetes, Information Technology, Deployment Automation, Production Code, Front End Software Development, GPT, Docker, Web Api
- **Published:** October 13, 2026
- **Apply:** https://www.builtincolorado.com/job/forward-deployed-engineer/11624073?handler=ApplyRedirect

## About the Role

+ Bachelor's degree in Computer Science, Aerospace, Engineering, or a related field.
 * Experience:
 + 3+ years of experience in software engineering, with a focus on customer-facing roles.
 + Proven track record of building, deploying, or supporting production software in mission-critical environments.
 * Technical Skills:
 + Proficiency in Python; experience with TypeScript, Java, or similar is a plus.
 + Experience building software with AI tools such as Cursor, Amp, ChatGPT
 + Experience with cloud platforms (AWS, Azure, Google Cloud), databases, and containerization technologies (Docker, Kubernetes).
 * Soft Skills:
 + Excellent communication and interpersonal skills.
 + Strong product sense: ability to question requirements, spot patterns, solve problems for the users.
 + Bias toward action: comfortable shipping prototypes quickly and iterating.
 + Adaptability and curiosity, thriving in ambiguous, fast-changing environments.
 * Certifications:
 + Relevant certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator) are a plus.
 * Active US Security Clearance (TS/SCI) required

## Description

Be an Early Applicant
Hybrid
Denver, CO, USA
155K-175K Annually
Mid level
Hybrid
Denver, CO, USA
155K-175K Annually
Mid level
Deploy and support mission-critical software in customer environments, troubleshooting across APIs, cloud infrastructure, databases, and frontend systems. Travel to customer sites and collaborate with satellite operations teams to prototype solutions, gather product feedback, and shape roadmap priorities. Partner with Product and Engineering to productionize successful prototypes, while creating integration playbooks, documentation, and training resources.
The summary above was generated by AI
What You'll Be Doing

Our customers run satellite missions on our software. Failure isn't an option. As a Forward Deployed Product Engineer, you make sure our software holds up at the edge, where it matters most.

You'll also spot what's missing, what could be simpler, and what should exist but doesn't yet, then turn those observations into product direction.

This is a product role as much as an engineering one. You'll work in the field, in ops centers, and alongside customers. You're a generalist who moves across the full stack, from infrastructure to frontend, and you use AI as leverage to ship faster. At Quindar, we believe the future belongs to engineers who use AI to move faster, build better, and shape the next generation of our products, * Configure and deploy our software in customer environments, ensuring reliability and performance across complex workflows.

 * Troubleshoot issues across backend APIs, cloud infrastructure, databases, and the frontend.
 * Travel to customer sites and embed with operations teams, building trusted technical relationships.
 * Prototype products and iterate quickly with live customer data and direct feedback.
 * Act as the voice of the customer in product discussions, translating field insights into roadmap priorities, solutions, and integrations.
 * Partner with Product & Engineering to turn successful prototypes into production code.
 * Develop playbooks for repeatable integrations and maintain clear documentation and training resources., Lead technical onboarding, implementation, and post-sales support for enterprise customers deploying AI cybersecurity solutions. Manage implementation plans, milestones, risks, technical relationships, and issue triage while coordinating with Sales, Engineering, Services, Product, and Support. Develop repeatable technical documentation and advocate for customer feedback. The role requires extensive post-sales technical experience, AI systems deployment expertise, enterprise infrastructure knowledge, and the ability to manage complex deployments in a high-growth environment.
Top Skills: Ai Systems/ApplicationsContainersEnterprise NetworkingHybrid InfrastructureRed Hat OpenshiftSaas IntegrationsSecurity Protocols
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