Sift is an industry leader in digital fraud management, offering robust AI-powered solutions to combat various forms of online fraud such as account takeovers, payment fraud, and chargebacks. With a scalable platform, Sift enables businesses to secure their operations through advanced decision-making and fraud detection technologies. Their platform is trusted by over 700 global brands, providing precise, user-level insights to turn fraud challenges into opportunities for scalable growth. Sift emphasizes the importance of partnerships and a strong community to enhance their fraud decisioning service, fostering secure business development across various sectors like e-commerce, fintech, and travel. Additionally, Sift is recognized for its insights and efforts in fraud industry leadership, featuring capabilities such as payment protection, account defense, and dispute management.
Machine Learning • Software as a Service (SaaS) • Fraud Detection • Predictive Analytics • Big Data
February 6
🇺🇸 United States – Remote
💵 $164.2k - $222.2k / year
⏰ Full Time
🔴 Lead
☁️ Cloud Engineer
🦅 H1B Visa Sponsor
Airflow
AWS
Cloud
Distributed Systems
Docker
Google Cloud Platform
Java
Jenkins
Kafka
Kubernetes
Python
Ruby
Ruby on Rails
Scala
Spark
Terraform
Vault
Sift is an industry leader in digital fraud management, offering robust AI-powered solutions to combat various forms of online fraud such as account takeovers, payment fraud, and chargebacks. With a scalable platform, Sift enables businesses to secure their operations through advanced decision-making and fraud detection technologies. Their platform is trusted by over 700 global brands, providing precise, user-level insights to turn fraud challenges into opportunities for scalable growth. Sift emphasizes the importance of partnerships and a strong community to enhance their fraud decisioning service, fostering secure business development across various sectors like e-commerce, fintech, and travel. Additionally, Sift is recognized for its insights and efforts in fraud industry leadership, featuring capabilities such as payment protection, account defense, and dispute management.
Machine Learning • Software as a Service (SaaS) • Fraud Detection • Predictive Analytics • Big Data
• Own the availability, performance, and scalability of Sift’s primary online storage systems and infrastructure • Design and build immutable infrastructure and fault-tolerant, multi-AZ/multi-region systems that are resilient and self-healing. • Design and Implement multi-region deployments, such as BigTable clusters spanning multiple regions, with strategies to ensure specific customers are routed to designated regions. • Solve complex problems that arise from our unique data volume and request rate. • Optimize local development and testing workflows to be fast, efficient, and seamless. • Design and implement services and libraries for components to interact with data stores, messaging layer and services platform. • Develop tools for monitoring, detecting faults, and automatically repairing distributed systems. • Provide design support to internal engineering teams for optimal usage of data stores, data growth planning, production workload optimization. • Participate in on-call support and incident response activities, providing 12/7 coverage approximately once every 3-4 weeks.
• 8+ years of experience as a Software Engineer focused on infrastructure/platform services or in a Site Reliability Engineering (SRE) role. • Strong programming skills in languages such as Java, Scala, or Python. • Experience designing and implementing distributed systems. • Experience building and managing cloud infrastructure on AWS or GCP. • Expertise in building infrastructure as code and automating provisioning processes using tools like CloudFormation or Terraform. • Proficiency in setting up and managing monitoring and alerting systems, both open-source and commercial. • Familiarity with Docker and container orchestration technologies like Kubernetes, GKE, or AWS ECS. • Strong experience troubleshooting and resolving production system issues, with a focus on building automated solutions to prevent future occurrences. • Proven expertise in automation and a solid understanding of configuration management tools.
• Competitive total compensation package • 401k plan • Medical, dental, and vision coverage • Wellness reimbursement • Education reimbursement • Flexible time off
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