Senior Full Stack Developer
Required Skills
React.js
Node.js
AWS
PostgreSQL
Serverless Framework
WebRTC
Job Description
Job Title: Senior Full Stack Developer
Job Type: Full-Time
Location: Remote
Job Summary:
We are in search of a highly skilled Senior Full Stack Developer to join our innovative tech team. The ideal candidate will have a strong foundation in React.js, Node.js, AWS, PostgreSQL, Serverless Framework, and WebRTC. This individual will be responsible for developing cutting-edge applications and must have a passion for delivering high-quality software solutions.
Key Responsibilities:
- Design and build scalable web applications with a focus on performance and usability.
- Utilize React.js and Node.js to create intuitive user interfaces and robust server-side logic.
- Implement and maintain AWS infrastructure for seamless deployment and operation.
- Develop and optimize databases with PostgreSQL for efficient data management.
- Leverage the Serverless Framework to enhance application scalability and efficiency.
- Integrate WebRTC for real-time communication solutions.
- Collaborate with cross-functional teams to define and deliver new features.
Required Skills and Qualifications:
- Proven experience as a Full Stack Developer with expertise in React.js, Node.js, AWS, PostgreSQL, Serverless Framework, and WebRTC.
- Mandatory production experience in full-screen video recording from a browser, capturing both user and system audio without third-party extensions.
- Strong problem-solving skills and the ability to work independently.
- Excellent written and verbal communication skills with a detail-oriented approach.
- Solid understanding of software development methodologies and best practices.
- Experience with testing frameworks and version control systems.
Preferred Qualifications:
- Familiarity with other cloud services and DevOps tools.
- Background in agile development environments.
- Experience with user experience and interface design principles.
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.