Job Description
Are you ready to build the technology stack of tomorrow? Apex Innovations is seeking a visionary Senior Full Stack Engineer to define our roadmap for 2026 and beyond.
We are not just looking for a developer; we are looking for a technical architect who understands the convergence of AI, cloud infrastructure, and next-generation user interfaces. You will lead the charge in integrating agentic AI workflows into our core products, ensuring we remain at the forefront of the industry.
Key Highlights:
- Shape the future of Enterprise SaaS.
- Work with cutting-edge AI and Cloud technologies.
- Competitive compensation and equity package.
Responsibilities
- Lead Architect: Design and implement scalable, high-performance microservices and full-stack applications using React, Node.js, and modern cloud architectures.
- AI Integration: Spearhead the integration of Generative AI models and vector databases into our existing product suite to automate complex workflows.
- System Optimization: Oversee cloud infrastructure (AWS/GCP) management, ensuring high availability, security, and cost-efficiency.
- Technical Mentorship: Guide a team of junior and mid-level developers, conducting code reviews and fostering a culture of technical excellence.
- Future-Proofing: Stay ahead of industry trends, evaluate emerging technologies (such as Spatial Computing or Web3), and propose innovative solutions.
Qualifications
- Experience: 5+ years of professional experience in full-stack software development, with a focus on high-scale systems.
- Frontend Mastery: Deep expertise in React, TypeScript, and modern CSS frameworks (Tailwind/Styled Components).
- Backend Expertise: Strong proficiency in Node.js, Python, or Go, with experience building robust RESTful and GraphQL APIs.
- Cloud Native: Hands-on experience with cloud providers (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- AI Awareness: Familiarity with Large Language Models (LLMs), prompt engineering, and basic machine learning concepts is highly desirable.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).