Ambrook
Software Engineer, Platform
About this role
Ambrook seeks a Platform Engineer to build foundational infrastructure systems supporting product development and internal operations. You'll work across PostgreSQL databases, GCP cloud environments, and emerging agent infrastructure while maintaining quality and security standards as the company scales.
What you'll do
- Design and operate production platform systems including PostgreSQL databases and GCP infrastructure
- Plan and execute large-scale migrations with validation, observability, and rollback strategies
- Build shared frameworks and tooling for internal AI agent systems, including evals and deployment interfaces
- Collaborate with engineering and non-engineering teams to understand platform needs and reduce friction
- Own platform projects from discovery through production rollout that improve developer velocity and reliability
- Establish security and scalability standards while helping teams adopt infrastructure improvements
What they're looking for
- PostgreSQL database design and operations
- Google Cloud Platform (GCP)
- TypeScript
- Production infrastructure and platform systems
- Large-scale data migration planning
- Agent infrastructure (evals, harnesses, sandboxes)
- Security and access control
- Internal tooling and developer experience
Benefits
- Competitive salary
- Work on foundational systems impacting entire company
- Opportunity to shape emerging agent infrastructure
- Series B startup with top-tier backing
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Ambrook
Ambrook builds AI-powered financial software for family-run businesses in agriculture, construction, and other underserved industries, featuring intelligent document parsing, transaction automation, and modern financial infrastructure. The company is hiring full-stack engineers, design engineers, AI specialists, and recruiting talent to scale its product and team.
- Website
- ambrook.com
Likely interview questions
- Describe a significant database or infrastructure migration you've led—what validation and rollback strategies did you use to protect production?
- How do you prioritize competing platform requests from multiple internal teams, and how do you measure the impact of your work?