Simplify Logo

Full-Time

Staff Software Engineer

Backend

Confirmed live in the last 24 hours

Gretel

Gretel

51-200 employees

Synthetic data platform for AI development

Enterprise Software
Cybersecurity
AI & Machine Learning

Compensation Overview

$210k - $230kAnnually

Expert

San Diego, CA, USA

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
NoSQL
Java
Docker
AWS
Google Cloud Platform
Requirements
  • A minimum of 8+ years of software engineering experience, with a focus on backend development
  • Strong Python, Go or Java coding skills
  • Proven expertise in designing and implementing serverless and microservice architectures using cloud-native technologies
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
  • Demonstrated experience in working on complex software projects and a track record of delivering technical excellence
  • Strong problem-solving skills and ability to troubleshoot complex issues
  • Excellent communication skills, both written and verbal
  • The ability to effectively manage multiple communication channels asynchronously
Responsibilities
  • Be a core contributor of code, tests, and application/data/systems architecture on a small team of engineers working across the stack
  • You will utilize programming languages like Python, Go, and Java, RDBMS and NoSQL databases, container orchestration services including Docker and Kubernetes, and a variety of AWS tools and services (EC2, S3, Lambda, etc.)
  • Own both customer and developer happiness for your products in production, working with your own and other teams to build operational transparency and resiliency into every layer of deployed applications
  • Coordinate with engineering and product leads to define, prioritize, and task projects that help us meet business objectives with our partners
  • Provide technical leadership, mentorship, pairing opportunities, and code reviews to encourage the growth of team members

Gretel provides a synthetic data platform that allows developers to create artificial datasets that resemble real data. This helps developers build and test AI models without risking data privacy. The platform is user-friendly, enabling quick access to synthetic data generation in under five minutes. Gretel's business model is based on application programming interfaces (APIs) that facilitate the generation of anonymized synthetic data, allowing businesses to innovate while maintaining privacy. The platform also offers features for validating AI models with quality and privacy scores. Gretel serves a diverse clientele, including developers and enterprises, and is available on the Google Cloud Marketplace. The company generates revenue by offering its platform as a service, where clients pay based on the amount of data they generate. Overall, Gretel aims to empower developers and enterprises to safely create and utilize data for AI projects.

Company Stage

Series B

Total Funding

$66.2M

Headquarters

Palo Alto, California

Founded

2020

Growth & Insights
Headcount

6 month growth

36%

1 year growth

60%

2 year growth

103%
Simplify Jobs

Simplify's Take

What believers are saying

  • Gretel's recent $50 million funding round provides substantial financial backing for further innovation and growth.
  • The launch of new features and datasets, such as the multilingual synthetic financial dataset and Text-to-SQL dataset, demonstrates Gretel's commitment to continuous improvement and addressing market needs.
  • Partnerships with industry giants like AWS and Illumina open up new avenues for market expansion and technological advancements.

What critics are saying

  • The niche focus on synthetic data may limit market size compared to broader AI and data service providers.
  • Rapid technological advancements in AI and data privacy could render Gretel's current offerings obsolete if they fail to keep pace.

What makes Gretel unique

  • Gretel.ai specializes in synthetic data generation, a niche yet crucial area in AI and data privacy, setting it apart from general AI and data service providers.
  • The platform's user-friendly design allows developers to start generating synthetic data in less than five minutes, a significant advantage over more complex solutions.
  • Strategic collaborations with major players like AWS and Illumina enhance Gretel's credibility and reach in the market.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Healthcare

Phone & internet

WFH

Flexible PTO

Home office stipend

401k