לוח משרות דרושים בשפלה

Requirements:
Qualifications:
* 3-4 years of managerial experience, leading small-medium engineering teams - Must
* 7+ years of experience building production-grade backend systems, with deep expertise in TypeScript and Node.js - Must
* Strong track record designing and evolving distributed, event-driven architectures (microservices, asynchronous systems, serverless where appropriate) - Must
* Experience building cloud-native systems on AWS, with a strong understanding of tradeoffs in scalability, reliability, and cost - Must
* Hands-on experience using Kafka in real production environments, with strong understanding of internals (partitioning, ordering, consumer groups, delivery semantics, scaling, failure modes) - Must
* Practical experience with Docker-based workflows and modern containerized development practices - Must
* Familiarity with Kubernetes (including EKS) and/or ECS, and understanding how services behave when deployed and scaled in container orchestration environments - Must
* Strong experience working with both NoSQL (MongoDB) and relational databases (Postgres), with clear understanding of data modeling and tradeoffs - Must B.Sc. in Computer Science or equivalent experience (AI-driven engineering practices)
* Experience using AI-assisted development tools (ChatGPT, Claude, GitHub Copilot, Cursor, etc.) as part of daily engineering workflows - Must
* Experience leveraging LLMs to improve productivity in coding, design exploration, technical writing, and analysis - Must
* Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and having built small tools or integrations using them
* Ability to critically assess AI-generated output and apply strong engineering judgment
* Interest in emerging AI tooling and how it can enhance, not replace, strong software engineering practices
Our Story
We are a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in Ecommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, Ecommerce, and technology positions us as a beacon

Requirements:
What It Takes 4+ years of hands-on experience in fraud analytics, data science, or risk modeling - Must Proven experience in the Fintech/Fraud Prevention Domain - Must
* Proven ability to take projects from A to Z in building data infrastructure, anomaly detection, and graph-based fraud detection solutions - Must
* Strong practical proficiency in Python, SQL, MLOps and fraud-related data tools - Must
* Strong background in e-commerce or payments - Advantage
* A self-starter mentality someone who identifies opportunities, takes initiative, and drives improvements with minimal direction. Our Story Chargeflow is a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in eCommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, eCommerce, and technology positions us as a beacon for merchants facing unjust chargebacks, supported by a unique success-based approach. Backed by $49M led by Viola Growth, OpenView, Sequoia Capital and other top tier global investors, Chargeflow has embarked on a product-led growth journey. Today, we represent a tight-knit community of passionate individuals and entrepreneurs, united in our mission to revolutionize eCommerce and fight against chargeback fraud, marking us as pioneers in protecting online business revenues.