Workflow86 (YC W22)
Founding QA EngineerOur mission is to capture, automate and scale the valuable operational knowledge that drives the performance of every team in every organization. We believe that the critical breakthrough required to acheive this is eliminating the significant time, effort and resources currently required to implement and build these business processes into software.
Why Workflow86 (YC W22)Visit website
- A solid foundation of 5+ years of experience with Java Spring Boot, React JS (Redux/MobX), MongoDB, AWS (EC2, ECS, S3, Cloudfront, Lambda), and microservices architecture.
- At least 2 years of experience in contributing to client-side architecture and design.
- A commitment to adhering to best practices in coding.
- A proven ability to thrive and adapt outside of your comfort zone.
- Effective teamwork skills, with experience working closely with junior engineers.
- Previous experience with Large Language Models (LLMs) or a strong, proactive interest in LLMs and Generative AI.
At Workflow86, our goal is to capture the vast amount of operational knowledge and expertise found within non-technical teams and transform it into scalable software solutions. Our platform is a comprehensive no-code solution designed for teams to efficiently document, automate, and manage their crucial business processes and operations in one centralized location.
What you'll be responsible for- ✅ Stakeholder Engagement
Partner with stakeholders to understand specifications, business requirements, and communicate insights
- 🤖 Scripting and Automation
Develop scripts and automated workflows to improve the efficiency and accuracy of repeated tasks
- 🛠 Test Engineering
Create and implement code tests and software test automation
- 👥 Collaboration
Works with others by being open, clear in communication and listening to achieve goals
- 🧮 Numerical problem solving
Works with numerical information and performs mathematical calculations to solve problems
- 🔍 Attention to detail
Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables