[Hiring] Solutions Engineer @fridayharbor.ai

Role Description

We’re looking for a Senior Infrastructure Engineer to work closely with our Lead AI Platform & Infrastructure Engineer on the foundation for our next stage of growth. You’ll help decide how our infrastructure evolves, lead the work to get it there, and own the systems you put into production.

There’s meaningful room to design here, alongside a live product and real customers to support. You’ll work with engineers who have infrastructure and platform backgrounds and care deeply about getting these decisions right.

We want a strong managed infrastructure foundation, with clear abstractions that let our team build on top of it. That takes someone who understands the underlying systems well enough to know where we need control, where a managed service makes sense, and when the simplest approach will serve us best.

Qualifications

• Strong engineering skills.
• Experience working directly with customers.
• Clear communication.
• Project ownership.
• Product judgement.
• Usually 2+ years as a software engineer, plus real experience working directly with customers, whether in an engineering role or something like support.

Requirements

• You can write production-quality Python and SQL, build and debug API integrations, and work with messy data in formats like JSON and XML.
• You can find your way around an unfamiliar codebase, read logs, and trace a problem to its cause.
• You’ve worked directly with customers and enjoy it.
• You’re comfortable in customer meetings, setting clear expectations, and being the go-to technical person for the customers you work with.
• You can explain technical decisions to underwriters and operations leaders as easily as to engineers.
• You can manage competing priorities and see work through to completion, keeping customers and the rest of the team aligned on progress, decisions, and next steps.
• You look beyond the initial request to understand the problem.
• You can recognize when to improve the broader product, when a custom solution makes sense, and when to suggest a different approach, working through those tradeoffs with customers and engineering.

Nice to Have

• Mortgage industry experience, such as underwriting, lender operations, or loan origination systems like Encompass.
• Experience with AI products, including setting customer expectations around accuracy and edge cases.
• Working with regulated customers and their security, compliance, and vendor review processes.
• Experience as an early engineer at a startup.
• You don’t need to have experience in every area before joining. Strong infrastructure fundamentals and curiosity about these problems are more important to us than the specific technology you’ve used.

Benefits

• Base salary of $135,000 to $165,000.
• Equity.
• Comprehensive benefits package.