Remote Senior Fullstack Engineer (Lead)

Description:

• We are looking for a Senior Fullstack Engineer with 5-6 years of experience to join our team.
• This is a hands-on engineering role where you will work across the backend, frontend, and AI-integrated solutions, solving complex engineering challenges and contributing to technical decisions.
• The ideal candidate will have a strong backend focus but should also be proficient in frontend development.
• This is a full-time internal role that is remote.
• Responsibilities include designing, developing, and maintaining scalable fullstack applications.
• You will work on backend services using Python, Node.js (NestJS), and Golang.
• You will develop front-end applications using React.js.
• You will build and optimize RESTful APIs and microservices.
• You will integrate AI/ML features, with some knowledge of GenAI tools and ML deployments.
• You will work with databases such as PostgreSQL and ClickHouse.
• You will ensure application monitoring, performance optimization, and testing.
• You will deploy and manage services using Kubernetes and Docker, requiring a strong understanding.
• You will collaborate with cross-functional teams to solve engineering problems and drive technical decisions.
• You must adapt to working in the Nepal time zone, including occasional off-hours, late nights, or early mornings.

Requirements:

• You must have 5-6 years of hands-on experience in software development.
• You should have strong expertise in backend development with Python, Node.js (NestJS), and Golang.
• Proficiency in frontend development with React.js is required.
• You should have experience working with PostgreSQL and ClickHouse databases.
• A solid understanding of APIs, microservices, and distributed systems is necessary.
• You must have experience integrating AI/ML features into applications.
• Strong knowledge of Kubernetes and Docker is mandatory.
• Familiarity with application monitoring, testing, and performance optimization is required.
• A Bachelor's degree in Computer Science or a related field is preferred but not required.

Benefits:

• The position offers a fully remote work environment.
• You will have the opportunity to work on complex engineering challenges and contribute to technical decisions.
• You will be part of a collaborative team that values cross-functional teamwork.
• The role provides the chance to work with cutting-edge technologies, including AI/ML integrations.
• You will gain experience in deploying and managing services using modern tools like Kubernetes and Docker.