Who we are
Our founding team is no stranger to the complexities of the financial industry. As early employees at Blend, they spent years together focused on creating modern cloud infrastructure for banks. Now, with Vesta, they are transforming the mortgage industry by creating the most flexible, open, and automated origination experience, benefitting financial institutions and their customers.
And, we're not alone.
We've raised $85M from top tier investors, including Andreessen Horowitz, Bain Capital Ventures, Conversion Capital, Zigg Capital, and Index Ventures.
We believe that our team is our greatest competitive advantage and take pride in having a team of exceptional humans. As a team, we value humility, empathy, self-awareness, and an orientation towards action. If this sounds like you and you're excited by the idea of getting in at the ground level to be part of building the infrastructure that will power the future of the finance industry, we would love to hear from you!
About your role
Your work will likely span our entire codebase, but your primary focus will be on scaling and maturing our platform to handle the entire mortgage market. In addition to development, you'll be responsible for helping set the guidelines and frameworks for our engineering organization in the years ahead, including both technical tooling and organizational growth.
Working at an early-stage startup means there is a strong sense of ownership across the team. While we support flexible schedules and trust people to manage their time, there will be moments when mission-critical work requires extra effort outside of typical working hours. We’re looking for teammates who are comfortable with that reality and who care deeply about the success of the product and the team.
The responsibilities of this role are open-ended, but we're looking for someone with deep experience in at least one, but ideally all of the following:
- Comfortable working in an early-stage startup environment where mission-critical work may occasionally require effort outside typical working hours.
- Deep experience scaling distributed systems with complex data dependencies
- Performance engineering in any of the following domains: AWS, Kubernetes, Kafka, PostgreSQL or similar relational database, Redis, Elasticsearch
- Strong proficiency with C# or other statically typed languages such as Kotlin, Go, or Java.
- Familiarity with observability tools (Datadog) and infrastructure as code (Terraform)