Senior Software Engineer, Cape Privacy
Confidential computing and encryption tools
Job no longer available
Confidential computing and encryption tools
21-100 employees
Job no longer available
21-100 employees
Company mission
To help data solve important problems without compromising privacy.
Role
Who you are
- A great attitude, effective communication skills, and a strong sense of ownership
- BS in computer science or equivalent experience
- At least 10 years professional work experience building performant, user-friendly, reliable, distributed software systems
- Experience working on backend system services, such as databases, distributed systems, real time applications, etc
- Ability to write high-quality, well-tested code in Python
- Experience developing both onsite enterprise software and cloud-based SaaS applications
- Experience writing unit, integration, and end-to-end tests
Desirable
- Experience working in a data science, machine learning, or AI context
What the job involves
- Cape is looking for a Senior Software Engineer to help build Cape's innovative enterprise AI platform. Cape software installs into the customer's own data center or VPC, and leverages local and public large language models and machine learning models to implement custom workflows and document creation
- Cape helps businesses get real value out of today's generative AI capabilities
- Cape is a growing startup, and we are looking for team members in the New York metropolitan area
- Design, develop, test, deploy, maintain, and improve software features
- Manage individual project priorities, deadlines, and deliverables
- Clarify and ensure the technical feasibility of product requirements
- Optimize application for maximum speed and scalability
- Collaborate with other team members and stakeholders
- Mentor less experienced team members
- Conduct thorough testing of your work, and participate in peer reviews within your team
Our take
Sharing and processing data can be a real advantage for individuals and businesses, but the so-called ‘data exhaust’ of unintended consequences and damages is a problem we’ve yet to get a handle on. It’s led to a situation in which, reportedly, the majority of data collected by businesses goes unused because of data security concerns. This leaves important predictive and analytic insights hidden out of reach.
Cape privacy is hoping to develop a market leading solution that takes the best from both worlds: its platform allows businesses to run predictive machine learning models using encrypted data - without ever actually decrypting it. In this way, insight can be unlocked without creating dangerous ‘data exhaust’ issues for the customers this data belongs to.
Whilst Cape Privacy’s platform is still only open to early-access clients, it’s already beginning to tilt its growth towards the financial sector. This is smart: this sector has begun to lean more heavily on ML in recent years, but has been limited in many instances by data regulations.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Apr 2021
$20m
SERIES A
Jun 2020
$5m
SEED
Total funding: $25m
Company HQ
Flatiron District, New York, NY
Leadership
Gavin Uhma
(CTO & Co-Founder)Has held developer roles at Techlink Entertainment and Slightly Social, and also co-founded Lightning Creative and GoInstant - which was ultimately acquired by Salesforce.
Ben DeCoste
(Co-founder)Was a developer at GoInstant, and followed the company to Salesforce after its acquisiton, where they held various developer roles. Also co-founded Sidestory.
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