
Innovate With Us
Backend Engineer
About Us
ÆONIS SYSTEMS is looking for a Backend Engineer to design, develop, and maintain scalable back-end architectures for AI-powered healthcare and education applications. This role involves building APIs, managing databases, optimizing server performance, and integrating AI models into backend systems. The ideal candidate is proficient in server-side technologies, cloud infrastructure, and security best practices.
Important Note: Until funding is secured, we ask for a commitment of 10-15 hours per month to ensure steady progress while respecting your time and contributions. This role is open to global applicants and can be remote.
Key Responsibilities
Backend Development: Design and implement scalable, high-performance APIs and microservices.
AI Model Integration: Build backend systems that interact with AI models for real-time processing.
Database Management: Develop and optimize SQL & NoSQL databases for structured and unstructured data storage.
Security & Authentication: Implement robust security protocols, API authentication, and access control mechanisms.
Cloud & DevOps: Deploy and maintain backend applications in cloud environments using AWS, GCP, or Azure.
Performance Optimization: Ensure low-latency response times for AI-driven backend services.
Collaboration: Work closely with frontend developers, AI engineers, and UX designers to create seamless user experiences.
Qualifications
Experience: Minimum 3+ years in backend software development.
Technical Background: Bachelor's in Computer Science, Software Engineering, or related fields preferred.
Programming Skills: Proficiency in Python, Node.js, Java, Go, or Ruby on Rails.
API Development: Experience with RESTful and GraphQL API design.
Database Expertise: Strong knowledge of PostgreSQL, MySQL, MongoDB, or Firebase.
DevOps & Cloud: Experience in containerization (Docker, Kubernetes) and cloud infrastructure (AWS Lambda, GCP Functions, Azure).
Security & Compliance: Familiarity with OAuth, JWT, encryption, and industry security best practices.
Work Model & Expectations
Commitment: 10-15 hours per month.
Work Type: Remote
Location: Open to global applicants.
Compensation: Currently voluntary; early contributors will be prioritized for paid roles once funding is secured
Let’s work together.
If you're passionate about scalable back-end systems, AI model deployment, and cloud-native solutions, apply today and help build the next generation of AI-driven healthcare and education!