
Full Stack Engineer
2 weeks ago
Full Stack Engineer
Were looking for a talented and versatile Full Stack Engineer to join our team. Youll work closely with designers, product managers, and other engineers to build scalable, reliable web applications. This role is ideal for someone who enjoys working across frontend and backend, leverages modern AI-assisted tools, and thrives in a fast-paced, collaborative environment.
Key Responsibilities
- Collaborate with product managers and designers to translate requirements into technical solutions.
- Design, develop, and maintain applications using with TypeScript &
- Build automation workflows and integrations using n8n.
- Build and integrate RESTful APIs and third-party services.
- Work with databases (SQL and NoSQL) design schemas, write optimized queries, and manage data integrations.
- Use AI-assisted development tools (e.g. Cursor, Replit, GitHub Copilot) to accelerate coding and improve quality.
- Deploy and manage infrastructure on AWS (EC2, Lambda, S3, DynamoDB, etc.)
- Write clean, maintainable, and efficient code following best practices.
- Participate in code reviews, debugging, and troubleshooting issues.
- Optimize applications for maximum speed, performance, and scalability.
- Contribute to architectural decisions and improve development workflows.
Requirements
Must-have:
- Min. 2 to 4 years of professional experience as a Full Stack Engineer or Software Engineer.
- Strong proficiency in JavaScript/TypeScript with expertise in
- Hands-on experience with n8n for workflow automation and integrations.
Strongly Preferred:
- Experience with relational databases (e.g., PostgreSQL) and general familiarity with database design & queries.
- Solid understanding of backend development using
- Experience building and consuming RESTful APIs.
- Knowledge of version control systems (e.g., Git).
- Exposure to CI/CD pipelines and DevOps practices.
- Understanding of authentication, security best practices, and API integrations.
- Experience deploying applications on Vercel.
- Familiarity with AWS (EC2, S3, Route53, etc.) for routing, domain, or infrastructure setup.
- Prior experience building SaaS products or MVPs.
- Comfort with AI-powered development tools to speed up coding, debugging, and testing.
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