Feedzai
Feedzai is a leading cloud platform that specializes in managing financial risk by combating fraud and financial crimes using advanced machine learning technology. The company analyzes trillions of dollars in transactions each year to protect major corporations from fraud and money laundering. With a diverse range of roles across the globe and a commitment to employee well-being and development, Feedzai fosters a culture of learning and innovation in the financial technology sector.
Big Data • Real-time Data Processing • Business Monitoring • Fraud Prevention • Large Scale Data Processing
Associate Platform Engineer - Data Reliability
February 16
AWS
Cloud
Distributed Systems
Docker
ElasticSearch
Google Cloud Platform
Grafana
Jenkins
Kafka
Kubernetes
NoSQL
Prometheus
Python
RabbitMQ
Redis
Terraform
Go
Feedzai
Feedzai is a leading cloud platform that specializes in managing financial risk by combating fraud and financial crimes using advanced machine learning technology. The company analyzes trillions of dollars in transactions each year to protect major corporations from fraud and money laundering. With a diverse range of roles across the globe and a commitment to employee well-being and development, Feedzai fosters a culture of learning and innovation in the financial technology sector.
Big Data • Real-time Data Processing • Business Monitoring • Fraud Prevention • Large Scale Data Processing
📋 Description
• Feedzai is the world’s first RiskOps platform for financial risk management... • The Engineering (Tech) Team is responsible for all Feedzai product development. • You will work with a wide range of technical challenges. • Engage in development tasks using Go, or similar languages. • Operate services such as Kafka, Elasticsearch, RabbitMQ, Redis, and CouchBase at an enterprise scale. • Contribute to the self-healing capabilities of applications in our enterprise environments.
🎯 Requirements
• A bachelor's degree in Computer Science, Information Systems, or the equivalent combination of education, experience, and training. • Programming skills in languages such as Go, Python, or similar. • Hands-on experience with Container Technologies and Orchestration (e.g., Docker, Kubernetes). • Familiarity with CI/CD pipelines with Jenkins, Gitlab, or similar and GitOps tools such as FluxCD or Argo CD. • Knowledge or experience working with Cloud Providers, with a preference for AWS or GCP Cloud. • Knowledge or experience in utilizing monitoring and observability stacks like Grafana and Prometheus. • Knowledge or experience in Infrastructure-as-Code (IaC) practices and knowledge or experience in tools like Terraform and Crossplane. • Valuable experience with data streaming and messaging platforms, like Kafka, Elasticsearch, RabbitMQ. • Self-driven, motivated, with a strong work ethic, and a passion for creative problem-solving.
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