לוח משרות דרושים

Requirements:
What It Takes -
Must haves:
Experience: 5+ years of experience in data platform engineering, backend engineering, or infrastructure engineering. Language Proficiency: Specific, strong proficiency in Python & software engineering principles. Cloud Native: Extensive experience with AWS, GCP, or Azure and cloud-native architectures. Databases: Deep knowledge of both relational (e.g., PostgreSQL) and NoSQL databases, including performance optimization, cost tuning, and scaling strategies. Architecture: Strong experience designing and implementing RESTful APIs, microservices architecture, and event-driven systems. Containerization & IaC: Experience with containerization technologies (Docker, Kubernetes) and Infrastructure-as-Code (e.g., Terraform, CloudFormation). system Design: Strong understanding of distributed systems principles, concurrency, and scalability patterns.
Nice-to-Haves:
Strong Advantage: Apache Iceberg (Lakehouse/S3/Glue), Apache Spark (Optimization), Message Queues (Kafka/Kinesis). Tech Stack: Orchestration (Temporal/Dagster/Airflow), Modern data Stack (dbt/DuckDB), Streaming (Flink/Kafka Streams), Observability (Datadog/Grafana). Skills: FinOps (Cost Explorer/Spot instances), CI/CD & DevOps, data Governance (GDPR), Pydantic, and Mentorship/Leadership experience.
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 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, we have 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.

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
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 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, We have 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.