Sift

Staff Cloud Platform Engineer- Core Infra

United States

$164,200 – $222,200Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, Data & AnalyticsIndustries

Position Overview

  • Location Type: Remote
  • Job Type: FullTime
  • Salary: $164.2K - $222.2K

The Core Platform team maintains and optimizes the data, infrastructure, messaging, and services platform that powers Sift’s online systems. We ensure these systems are always available, reliable, and performing at their best to meet customer needs. In the event of an outage or failure, we follow well-practiced recovery plans to restore services swiftly. Managing such complex, large-scale systems requires continuous monitoring and proactive maintenance to uphold these standards.

Requirements

  • Experience: 8+ years of experience as a Software Engineer focused on infrastructure/platform services or in a Site Reliability Engineering (SRE) role.
  • Programming Skills: Strong programming skills in languages such as Java, Scala, or Python.
  • Distributed Systems: Experience designing and implementing distributed systems.
  • Cloud Infrastructure: Experience building and managing cloud infrastructure on AWS or GCP.
  • Infrastructure as Code: Expertise in building infrastructure as code and automating provisioning processes using tools like CloudFormation or Terraform.
  • Monitoring & Alerting: Proficiency in setting up and managing monitoring and alerting systems.

Responsibilities

  • System Availability & Performance: Own the availability, performance, and scalability of Sift’s primary online storage systems and infrastructure.
  • Immutable Infrastructure: Design and build immutable infrastructure and fault-tolerant, multi-AZ/multi-region systems that are resilient and self-healing.
  • Multi-Region Deployments: Design and Implement multi-region deployments, such as BigTable clusters spanning multiple regions, with strategies to ensure specific customers are routed to designated regions (e.g., sticky sessions at the regional level).
  • Problem Solving: Solve complex problems that arise from our unique data volume and request rate which may involve digging deep into data store and messaging internals.
  • Optimization: Optimize local development and testing workflows to be fast, efficient, and seamless.
  • Service & Library Development: Design and implement services and libraries for components to interact with data stores, messaging layer and services platform.
  • Tools Development: Develop tools for monitoring, detecting faults, and automatically repairing distributed systems.
  • Design Support: Provide design support to internal engineering teams for optimal usage of data stores, data growth planning, production workload optimization, messaging, caching and service platform.
  • On-Call & Incident Response: Participate in on-call support and incident response activities, providing 12/7 coverage for one calendar week approximately once every 3-4 weeks.

Technical Stack

  • Cloud Providers: GCP, AWS
  • Automation Tools: Airflow, Terraform, Jenkins
  • Containerization: Kubernetes
  • Secrets Management: Vault
  • Messaging Systems: Kafka
  • Data Warehousing & Processing: Snowflake, Spark
  • Programming Languages: Java 11, Python 3, Ruby 2.7, Ruby on Rails

Skills

Java
Scala
Python
AWS
GCP
CloudFormation
Terraform
Monitoring
Alerting
Distributed Systems
Infrastructure as Code

Sift

Real-time fraud detection and prevention platform

About Sift

Sift provides a platform focused on detecting and preventing online fraud in real-time, catering to clients in e-commerce, fintech, and digital marketplaces. The platform uses machine learning and artificial intelligence to analyze large datasets, allowing it to identify fraudulent activities effectively. One of its standout features is dynamic friction, which ensures that genuine users have a smooth experience while preventing fraudsters from accessing services. Sift's business model is subscription-based, with fees that depend on transaction volume and service level. Additionally, Sift offers services like chargeback management and dispute resolution, which add further value to its offerings. The company's goal is to enhance digital trust and safety for businesses by providing tools that help them make informed decisions and protect against fraud.

Bristol, United KingdomHeadquarters
2011Year Founded
$4.4MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, Financial ServicesIndustries
51-200Employees

Risks

Rise of app-enabled friendly fraud challenges Sift's mobile fraud detection capabilities.
Reliance on third-party delivery apps by QSRs introduces new fraud risks for Sift.
Complex payment processes may complicate Sift's integration and effectiveness in fraud prevention.

Differentiation

Sift offers a comprehensive platform for real-time online fraud detection and prevention.
The company uses machine learning and AI to analyze vast amounts of data effectively.
Sift's dynamic friction feature ensures seamless user experience while blocking fraudsters.

Upsides

Growing demand for AI-driven fraud detection in QSRs presents expansion opportunities for Sift.
Digital-first banks' need for effective authentication aligns with Sift's fraud prevention solutions.
Global trend towards secure payment systems supports Sift's mission for digital trust and safety.

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