Full Stack Engineer (Lead) job opportunity at Flatgigs.



Date2026-01-26T12:09:41.944Z bot
Flatgigs Full Stack Engineer (Lead)
Experience: 5-years
Pattern: Full-time
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loacation Karachi, Pakistan
loacation Karachi....Pakistan

Job Overview Flatgigs is seeking a talented and experienced Full Stack Engineer to lead our growing development team. In this pivotal role, you will be responsible for overseeing the entire software development lifecycle, from planning and design to deployment and maintenance. You'll have the opportunity to work with cutting-edge technologies while mentoring junior developers and driving best practices within the team. Responsibilities: Lead the design, development, and deployment of scalable web applications using a variety of modern frameworks. Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications. Manage and mentor a team of developers, promoting an agile development culture and continuous learning. Implement best practices for unit testing, code reviews, and CI/CD processes to ensure high-quality software delivery. Conduct regular performance tuning and optimization of applications to ensure a seamless user experience. Stay up to date with industry trends and emerging technologies to keep Flatgigs at the forefront of innovation. Qualifications: 5+ years of experience in full stack development, with a strong proficiency in both frontend and backend technologies. Expertise in JavaScript frameworks such as React, Angular, or Vue.js for frontend development. Strong experience with backend technologies such as Node.js, Express, or similar frameworks. Demonstrated experience in database management (SQL and NoSQL) and API design. Proven leadership skills, with experience managing or mentoring a team of developers. Strong understanding of software development methodologies, including Agile and Scrum. Preferred Qualifications: Experience with DevOps practices and tools (Docker, Kubernetes, Jenkins). Knowledge of cloud services (AWS, Azure, GCP) and serverless architectures. Experience with performance monitoring and optimization techniques.

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