Speakeasy

Founding Engineer, Backend

San Francisco, California, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine LearningIndustries

Requirements

Candidates should have a strong background in backend engineering with experience in designing and implementing distributed systems. Proficiency in machine learning concepts, particularly in training and deploying ML models, is essential. Familiarity with computer vision, natural language processing, and generative AI technologies is preferred. Excellent problem-solving skills and the ability to work in a fast-paced startup environment are required.

Responsibilities

The Founding Engineer will design, implement, and maintain Seekeasy's core backend infrastructure and large-scale data processing pipelines. They will collaborate with data scientists and ML engineers to train and deploy ML models and APIs. The role involves maintaining and improving developer tooling and ensuring high service availability through logging and monitoring. Additionally, the engineer will lead outage incident responses and mentor junior team members as the engineering team scales.

Skills

Backend Infrastructure
Distributed Data Processing
ML Model Training
ML Model Deployment
ML Model Evaluation
DevOps
Build Systems
Deployment Systems
Monitoring Systems
Troubleshooting
Scalability
Efficiency
Python
Computer Vision
NLP
Generative AI

Speakeasy

Automates API and SDK creation for developers

About Speakeasy

Speakeasy simplifies the creation and integration of Application Programming Interfaces (APIs), which are essential for enabling communication between different software applications. Its platform automates the generation of Software Development Kits (SDKs), which are collections of tools that developers use to build applications for specific platforms. By automating this process, Speakeasy helps developers save time and focus on enhancing their core products. The company operates on a subscription model, offering various pricing tiers to cater to different client needs, from small startups to large enterprises. This approach not only provides a steady revenue stream but also allows for continuous improvement of its services. Speakeasy stands out from competitors by focusing on automation and ease of use, aiming to boost developer productivity and foster innovation across industries.

Key Metrics

San Francisco, CaliforniaHeadquarters
2022Year Founded
$10.6MTotal Funding
SEEDCompany Stage
Consumer Software, Enterprise SoftwareIndustries
11-50Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
401(k) Retirement Plan

Risks

Increased competition from established platforms like Postman and RapidAPI.
Potential customer churn due to rapid technological advancements in API development.
Economic downturns may lead to reduced spending on developer tools.

Differentiation

Speakeasy automates SDK creation, saving developers time and effort.
The platform integrates SDK generation into API's CI/CD processes.
Speakeasy offers type-safe, idiomatic SDKs for enterprise APIs.

Upsides

Increased demand for API management as companies adopt microservices architecture.
Growing interest in low-code platforms expands Speakeasy's potential user base.
API-first strategies align with Speakeasy's focus on API automation.

Land your dream remote job 3x faster with AI