Software Engineer

We’re solving problems that others thought were impossible with a new category of data infrastructure.

We're a seed-stage enterprise-focused data infrastructure startup, and we're looking for an experienced software engineer who can shape the technical direction of our product, work directly with our customers, and help define company culture. Our ideal next teammate thrives in ambiguity and wants to have significant influence in creating the company's foundation.

We're building a state-of-the-art query engine for programmatically de-identifying sensitive data so large organizations can use their most sensitive assets without red tape.

Highlights of the day-to-day include:

• Designing and implementing major product functionality. You'll be "hands on keyboard", but just as important will be your contributions to the product's direction.
• Engaging directly with prospects and customers. You'll be helping to sell the product and helping existing customers make better use of the system. You'll turn what you learn back into new functionality for the product.
• Significant focus on product quality. We need to move quickly, but unlike many start-ups we're shipping data infrastructure into customer environments so we can't just hit the deploy button to solve a customer issue. This means we have to pay attention to our designs, test how changes affect the system, and use the product ourselves like our customers do.

We're a small company, and even smaller technical team so you can expect to get your hands dirty on the entire product. Whether it's building scalable ML pipelines in Python, configuring infrastructure in Terraform and Helm, or writing frontends in React and Golang, you can be sure you're having an impact.

The company
Subsalt makes it safer, faster, and easier for companies to use their sensitive data. We’re starting in healthcare, where we unlock the use of HIPAA-restricted healthcare data for machine learning and advanced analytics, and we’re finding similar needs in other regulated industries (financial services, defense, insurance, Fortune 500s).

Our core product is the world’s first anonymous query engine, a Postgres-compatible query engine that generates anonymized, statistically-representative synthetic data on demand. We’re writing the playbook for how these novel systems work, leveraging state-of-the-art generative ML to build an infrastructure product capable of anonymizing sensitive data at scale.

We're a fully-remote company distributed across the US, and everybody can work from anywhere. We rendezvous in person each quarter to jam on ideas, plan for the future, and have some fun. We’re building a writing-heavy culture – from technical designs to internal go-to-market decisions, we’ve found that writing is a great way to clarify and communicate the path forward that leads to simpler, more productive outcomes.

Qualifications
We are looking for exceptional engineers who are driven to find simple solutions to complex problems and who are excited to stretch themselves as part of a growing team at the intersection of distributed systems, data infrastructure, and machine learning.

• 5+ years of building production applications
• Experience with two or more of: Python, Typescript, Java, Zig, Kubernetes
• Comfortable with written and verbal communication for both technical and non-technical audiences
• Thrive in high velocity, collaborative early startup environments. Excited to work directly with customers to understand and solve their problems in a scalable way.

This is a “hands-on” role, and a big part of the job will be identifying problems, designing solutions, and then implementing them. We move quickly but intentionally, and we’ll expect you to learn new technologies and methodologies as we outgrow our existing ones.