Join Vesta as a senior Software Engineer to scale and mature a platform transforming the mortgage industry with AI.
Posted by employer 7 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 22 hours ago
Skills & Technologies
Role intensity
70% hands-on coding
AI in the day-to-day
Our AI augmented platform makes the mortgage lending process fully automated.
Requirements
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer - Platform at Vesta will focus on scaling and enhancing the company's mortgage platform, ensuring it can handle the complexities of the entire mortgage market. Candidates should possess extensive experience with distributed systems and be proficient in languages like C# or Java, alongside familiarity with tools such as AWS and Kubernetes. This position is ideal for senior engineers who thrive in dynamic startup environments and are eager to take on significant responsibilities. Vesta's early-stage team emphasizes ownership and collaboration, aiming to revolutionize the mortgage industry.
Joblaze insights
Quick facts
From the original posting
We're here to change it.
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.
Who you are
Vesta is building out its early engineering team with well-rounded, resourceful engineers who want to create a product literally from the ground up. An ideal candidate for this role is a senior+ engineer that has deep experience scaling distributed systems, is not afraid to work on any part of the stack, and is excited about the breadth of responsibility and autonomy. You are someone who people can depend on to get things done and take responsibility for your commitments. You love working alongside smart and talented people who are execution oriented.
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)
Perks & Benefits
Robust medical, vision, & dental coverage (~100% of employee premiums are covered)
FSA plan offering
401(K) plan offering
Remote-first culture with a physical hub in the bay area!
Generous Work From Home & Wellness Benefits
Monthly cell & wifi stipend
Monthly Doordash benefits
Open & encouraged flexible time off
Our cash compensation amount for this role is targeted at $200,000 - $275,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
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