QA Staff Engineer
Swish Analytics$120,000 - $170,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Crypto & Web3, Data & Analytics, Consumer SoftwareIndustries
Requirements
Candidates should possess proven QA experience, preferably within the SaaS or crypto space, with a strong focus on web applications and APIs. They must have a strong understanding of JavaScript, TypeScript, and modern testing frameworks, along with familiarity with cloud platforms, particularly Google Cloud Platform (GCP). A deep knowledge of the cryptocurrency landscape and active involvement in the crypto community, identifying as a 'degen' with a keen interest in crypto projects and trends, is also required. Detail-oriented analytical skills and excellent written and verbal communication skills are essential for effective collaboration with cross-functional teams.
Responsibilities
The Crypto QA Engineer will develop and execute comprehensive test plans and test cases for our SaaS applications and APIs, focusing on functionality, security, and performance. They will utilize tools like Reflect.Run and Cypress to automate integration and end-to-end testing, integrating these processes into our CI/CD pipeline using GitHub Actions. API testing will be conducted using tools like Postman to ensure they meet performance and security standards. Security and load testing will be performed to identify vulnerabilities and ensure scalability. The role involves working closely with development teams to understand the architecture of our Next.js and TypeScript applications, ensuring seamless integration. Community engagement will be a key component, gathering feedback and insights to drive continuous product improvement. User experience testing will be conducted using tools like Maze and Lookback to enhance the overall user experience. Feature management and experimentation will be implemented using Split.io to manage feature releases and conduct experiments, monitoring the impact of new features.
Skills
Reflect.Run
Cypress
Postman
Next.js
TypeScript
API Testing
Security Testing
Load Testing
Maze
Lookback
Split.io
CI/CD
GitHub Actions
Feature Flagging
A/B Testing
Token Metrics
Cryptocurrency investment platform using machine learning
About Token Metrics
Token Metrics is a cryptocurrency investment platform that uses machine learning to help users identify profitable investment opportunities and avoid scams. It offers services like cryptocurrency reviews, price predictions, and in-depth analysis, catering to both novice and experienced investors. The platform operates on a subscription model, providing access to premium features such as a private investor group and webinars. The goal of Token Metrics is to make crypto investing more accessible and less risky for its clients.
Austin, TexasHeadquarters
2018Year Founded
$1.8MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Fintech, Crypto & Web3Industries
11-50Employees