At CyberCare AI Labs, we’re committed to building borderless, AI-driven products that help people around the world. We’re assembling a diverse engineering team – people who care about creating reliable, scalable systems for millions of users. We know true technical depth doesn’t just come from one language, and we welcome senior engineers from all backgrounds.
Are you a back end developer skilled in Java, Node.js, C#, Go, Ruby, PHP, or similar and ready to learn and grow into Python? We’ll help you make the leap.
Why Join CyberCare for Your Transition?
Leverage Your Experience: You’re valued for your history of building robust, scalable, and secure systems - not just your Python skills.
Ramp Up With Support: Get tailored onboarding, mentorship, and exposure to Python and FastAPI best practices so you can excel quickly.
Make an Impact From Day One: Apply your architecture, problem-solving, and leadership skills while you learn our stack.
What You Will Do
Design and develop backend systems powering AI support products, while learning Python and FastAPI.
Build and maintain APIs and microservices, drawing on your deep architectural expertise.
Collaborate with product and engineering leads in planning, estimating, and roadmap definition.
Share your experience: mentor team members in scalable design and best practices - even as you ramp up in Python.
Participate in code reviews, testing, and feedback cycles as you build fluency in Python.
Contribute to the continuous improvement of system reliability, security, and performance.
What We Expect
4+ years of building scalable, reliable, and secure backend systems in a modern language (Java, Go, Node.js, C#, Ruby, PHP, etc.).
Deep architectural knowledge: microservices, system design, and clean code.
Strong experience with modern tech: SQL databases, Docker or containers, DevOps tools, messaging queues, caching, logging, monitoring solutions.
Experience working across product teams and mentoring less experienced engineers.
Motivation to learn Python and transition to a new language and stack.