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Staff Full Stack Engineer - Vue.js/ElectronJS

Cloudesign Technology
Multiple Locations
5 - 7 Years
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4.3white-divider46+ Reviews

Posted on: 28/08/2025

Job Description

The Role :

We're looking for a highly skilled and motivated Staff Full-Stack Engineer to join our team.

In this role, you'll be a key technical leader, responsible for designing, building, and maintaining robust and scalable applications across the full stack.

You'll work on everything from our user-facing interfaces to our backend services, playing a pivotal role in shaping our technical direction and product roadmap.

This is an incredible opportunity to make a significant impact and help us scale our platform to millions of users.


What You'll Do :


- Architect and develop high-quality, scalable applications using our core tech stack : Vue.js, Electron, TypeScript, Python, and Go.


- Lead technical projects from conception to deployment, ensuring they are delivered on time and to a high standard.


- Collaborate closely with product managers, designers, and other engineers to define features and build a seamless user experience.


- Mentor junior engineers and help foster a culture of technical excellence and continuous learning.


- Optimize existing systems for performance, reliability, and scalability.


- Contribute to our internal tools and development processes to improve team efficiency.


What We're Looking For :


- 5+ years of professional experience as a full-stack or backend engineer.


- Proven experience in scaling products and working with large-scale systems.


- Deep understanding of computer science fundamentals, including algorithms, data structures, and system design.


- Strong proficiency in our core technologies : Vue.js, Electron, TypeScript, Python, and Go.


- Excellent problem-solving and communication skills.


- Ability to thrive in a fast-paced, ambiguous environment and take ownership of projects.


- Prior experience at a startup or as part of a founding team is preferred.


Bonus Points :


- Experience with open-source contributions or significant personal side projects, particularly those involving AI/ML.


- A portfolio or GitHub profile that showcases your work.


- Experience with cloud platforms like AWS, GCP, or Azure.


- Familiarity with containerization technologies like Docker and Kubernetes


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