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Supercoder is an AI-powered career development platform that connects developers worldwide to remote job opportunities with competitive pay.

• Type of work: 100% Full-time remote

Overview:

We are looking for an experienced and versatile Tech Lead / Full Stack Developer who can manage end-to-end development of our Learning Management System (LMS). The ideal candidate will have expertise in frontend and backend technologies, DevOps practices, and strong leadership capabilities. Experience developing cloud-based services is essential, as our LMS operates on a subscription-based cloud model. Additionally, the candidate should be capable of efficiently utilizing generative AI tools to accelerate the development process and improve productivity.

Responsibilities:

• Lead the development lifecycle from planning to deployment.
• Develop efficient workflows by effectively utilizing generative AI tools for coding and rapid prototyping.
• Build responsive frontend interfaces using React.
• Develop robust backend systems with Java and Spring framework.
• Design, manage, and optimize databases using MySQL.
• Implement and manage DevOps practices.
• Collaborate closely with product teams and stakeholders to deliver solutions aligned with business requirements.
• Mentor and guide junior developers, conducting regular code reviews and quality assurance.

Qualifications:

• Solid experience with React, Java, and Spring.
• Extensive experience in MySQL database management and performance optimization.
• Hands-on experience with DevOps tools and methodologies.
• Strong understanding of Agile practices and continuous delivery.
• Excellent problem-solving and communication skills.
• Proficiency in leveraging generative AI tools to enhance development productivity and efficiency.

Preferred Qualifications:

• Prior experience in LMS development.

~ Hw to Apply 🔥

Heres Whats Next (Takes Only 3-5 Minutes):

• Step 1: Set up your Supercoder profile (Required) by uploading your CV first using the extract feature, then review and adjust details later
• Step 2: Search for the "Machine Learning Engineer" role and apply.

To ensure your profile gets reviewed and shortlisted ASAP, please use this link: https://bit.ly/Sign-upNau and carefully follow the outlined steps. This will help us streamline the process and prioritize your application.

Looking forward to hearing from you!