If you're an experienced engineer that wants to get your hands dirty solving important problems at a seed-stage company, we want to hear from you.

We're a (funded, post-revenue) enterprise-focused data infrastructure startup, and we're looking for an experienced software engineer who can shape the technical direction of our product, spend time with our customers, and help define the company's culture. If you thrive in ambiguity, are excited by iteration, and want to help build a great workplace, you're gonna love it here.

The impact you’ll have

Organizations depend on our generative database for running analytics workloads on sensitive data, and we’re building an enterprise-grade product alongside our early customers. As a part of the core team, your responsibilities will include:

• Making significant technical contributions to our core product, including:
  • designing and building a broad range of cloud-native data infrastructure services and ML pipelines using enterprise-grade frameworks like NestJS, Netty, and Prefect
  • managing Subsalt’s containerized public cloud infrastructure and customer-facing product packages using technologies like Kubernetes, Docker, and Helm
  • enhancing product delivery by improving CI / CD, monitoring, software release processes, and many more problems we’ll encounter on the road ahead
• Interfacing directly with customers and shaping the product to solve their problems in scalable ways
• Driving the direction of the product as a very early team member, and collaborate with technical and non-technical team members and founders
• Actively help the company scale as we grow!

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, Fortune 500s).

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

We're a fully remote company distributed across the US, and everybody can work from anywhere.

Qualifications

We are looking for exceptional software 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 systems, data infrastructure, and machine learning.

• 5+ years of production-level experience in Python, Java, Javascript/Typescript or similar languages
• Demonstrable experience delivering results on open-ended technical challenges with high degree of autonomy
• Comfortable with written and verbal communication for both technical and non-technical audiences
• Thrives in high velocity, collaborative early startup environments. Excited to work directly with customers to understand and solve their problems.
• Preferred: Experience with machine learning and/or enterprise infrastructure products