Location: Ramat Gan, Israel
We are looking for a Senior Full-Stack Developer to join our team and help build cutting-edge deep learning tools that accelerate data science workflows. As an early hire in our growing startup, you will take end-to-end ownership of core features, working across cloud infrastructure, Kubernetes, Docker, backend, and frontend technologies. If you’re passionate about building scalable systems and working with deep learning technologies, we want to hear from you!
About Us
Tensorleap is revolutionizing deep learning development with advanced debugging and explainability tools. Our platform empowers data scientists and machine learning engineers to optimize their models efficiently.
Responsibilities
- Design, develop, and maintain scalable, high-performance full-stack applications.
- Work with Node.js, Go, and React to build robust backend and frontend services.
- Deploy, manage, and optimize applications in cloud environments using Kubernetes and Docker.
- Collaborate with data scientists and DL engineers to integrate deep learning tools.
- Develop and maintain APIs and microservices to support complex workflows.
- Ensure code quality, security, and performance best practices.
Requirements
- 5+ years of experience in full-stack development.
- Strong proficiency in Node.js, Go, and React.
- Deep knowledge of cloud platforms (AWS, GCP, Azure).
- Hands-on experience with Kubernetes and Docker.
- Expertise in backend architectures, microservices, and API development.
- Experience working in fast-paced startup environments.
Nice to Have
- Familiarity with neural networks, TensorFlow, or PyTorch.
- Experience building tools for deep learning or data science workflows.
- Strong knowledge of DevOps, CI/CD, and observability tools.
Why Join Us?
- Work on cutting-edge deep learning tools that shape the future of AI.
- Join a high-impact role in a fast-growing startup.
- Engage with a top-tier team in a collaborative and innovative environment.
- Enjoy career growth opportunities and ownership over key projects.
Ready to build the future of deep learning? Apply now!