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Were looking for an experienced Engineering Lead to join our Tel Aviv office and lead the Platform Management team. This team is responsible for the development, scalability, and reliability of our core platform - the backbone of our product offerings.

In this role, youll lead both Frontend and Backend engineers, building features that enhance platform performance, stability, scalability, and intelligence. Youll also play a key role in integrating modern AI capabilities into the platform, including Large Language Models (LLMs), AI-driven workflows, and emerging standards such as Model Context Protocol (MCP).

If youre passionate about building scalable, high-performance systems, solving complex technical challenges, and applying AI in real-world products, wed love to hear from you.

Key Responsibilities:

Lead and mentor a team of Frontend and Backend engineers, supporting their professional growth and technical development
Design and build scalable, high-quality web applications while promoting engineering best practices, architecture standards, and efficient development processes
Drive engineering excellence through high-quality code, strong documentation, testing, and monitoring practices
Identify and resolve technical challenges, system issues, and performance bottlenecks
Collaborate with cross-functional teams, including Product, DevOps, and Support, to ensure smooth feature delivery and platform reliability
Stay up to date with emerging backend and AI/LLM technologies, and lead the adoption of relevant innovations into the platform

We are hiring an experienced .NET (8+) Backend Developer for the development and maintenance of complex and advanced Enterprise systems.
Responsibilities:
Develop and maintain server-side system services in an Enterprise environment.
Work with Microservices and async programming methodologies.
Develop and maintain databases such as MongoDB/PostgreSQL.
Integrate with the client side using React/Angular.
Improve performance and maintain complex codebases.
Work with advanced communication protocols.

We are seeking a seasoned Backend Tech Lead with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.
Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

We are looking for a Backend Tech Lead to drive the architecture and development of our AI-powered language learning platform. In this role, you will design and implement backend systems that directly impact millions of learners worldwide. You will architect scalable services that power real-time AI conversations, ensuring low-latency performance and reliability while building the foundation for our next generation of language learning features.
What Youll Do:
Design, develop, and maintain high-performance backend services and APIs (REST and gRPC) that power AI-driven conversational experiences.
Build and optimize asynchronous Python applications capable of handling real-time audio/text processing at scale.
Ensure seamless, low-latency integration between mobile and web clients and our AI backend platform.
Drive technical decisions on system architecture, focusing on low latency and fault-tolerance.
Collaborate with AI/ML, mobile, DevOps, and product teams to deliver end-to-end solutions that delight our users.
Work within CI/CD workflows to ensure smooth deployments and maintain high code quality standards.
Optimize system performance and resource utilization while maintaining reliability SLAs for our growing user base.