דרושים » תוכנה » backend Developer

Requirements:
Proven Backend Expertise: 5+ years of professional experience, with astrong foundation in building and maintaining robust backend systems for large-scale consumer or enterprise products.
Technical Mastery: Advanced proficiency in at least one modern backend language (TypeScript and Node.js), with hands-on experience developing production-grade APIs and microservices. Experience with Lambda functions is a big plus.
Scalable Systems Builder: Demonstrated experience architecting and delivering high-availability services and distributed systems, leveraging patterns for reliability, performance, and security.
Cloud-Native Engineering: Deep familiarity with cloud platforms (AWS, GCP, or Azure), including hands-on experience with serverless technologies (e.g., AWS Lambda), infrastructure-as-code, and automated deployment pipelines.
Data Fluency: Solid experience with both SQL and NoSQL databases; knowledge of vector databases and embedding/search technologies is a big plus.
AI Platform Integration: Experience integrating with modern AI services (OpenAI, Hugging Face, etc.), and enthusiasm for collaborating with ML/AI specialists to bring LLMs, RAG, and conversational AI capabilities into production.
Results-Oriented Delivery: A track record of shipping consumer-facing features at scale, collaborating closely with both product and engineering teams.
Forward-Thinking Problem Solver: Eager to explore new technologies, solving complex problems using both solid engineering fundamentals and innovative approaches.

Requirements:
5+ years of Backend development experience in Node.js and Typescript
Database Management
Experience with SQL databases
Proficiency with in-memory data structures and caching
Proficiency in database design, optimization, and query performance tuning
API Development and Integration
Experience designing and building RESTful APIs
Familiarity with GraphQL is a plus
Experience in designing and implementing microservices
Scalability and Performance Optimization
Understanding of caching strategies and message queues
Experience with large-scale, distributed architectures
Experience implementing authentication, authorization, and data protection mechanisms
Excellent problem-solving skills and attention to detail
Proactive attitude and ability to thrive in a dynamic startup environment
Communication and collaboration skills

Requirements:
6+ years as a backend engineer, ideally with experience in fraud detection, risk management, or high-stakes decision systems
BSc in Computer Science, Mathematics, or equivalent experience
Passionate about technology and the cat-and-mouse game of fraud prevention
Broad knowledge of modern backend frameworks, tools, and architecture-especially real-time processing and decision engines
Experience with high-scale, production-grade projects where uptime and accuracy are non-negotiale
Past contributions to open source projects (bonus points for security or fraud-related work)
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI-a commitment to exploring this field is a fundamental part of our culture