Sift
Machine Learning • Software as a Service (SaaS) • Fraud Detection • Predictive Analytics • Big Data
Senior Cloud Platform Engineer - Core Infra
November 4
AWS
Cloud
Docker
Google Cloud Platform
Java
Jenkins
Kafka
Kubernetes
Python
Ruby
Ruby on Rails
Scala
Spark
Terraform
Vault
Sift
Machine Learning • Software as a Service (SaaS) • Fraud Detection • Predictive Analytics • Big Data
Description
• The Core Platform team is responsible for maintaining and optimizing 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. • Design and build immutable infrastructure and fault-tolerant, multi-AZ/multi-region systems that are resilient and self-healing. • Implement multi-region deployments, such as BigTable clusters spanning multiple regions. • Optimize local development and testing workflows to be fast, efficient, and seamless. • Create dynamic environments that enable specific services to interact with other environments in real time. • Develop automated bot solutions for deployment and monitoring, integrating with Slack for streamlined updates. • Participate in on-call support and incident response activities, providing 12/7 coverage for one calendar week approximately once every 3-4 weeks.
Requirements
• 5+ 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. • Extensive experience building and managing cloud infrastructure on GCP or AWS. • 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. • 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.
Benefits
• Competitive Compensation: Includes financial rewards, annual 5% bonus, and stock options; • Health Insurance Stipend: Support for your medical and health related needs; • Sports and Wellness Stipend: Encouraging a healthy and active lifestyle; • Work From Home Stipend: Support in creating a productive home office setup; • Education Reimbursement: books, education courses, and conferences to support your professional growth; • Mental Health Days: Additional paid day offs to prioritize your well-being; • Language and Public Speaking Development: English courses and social activities within the company to enhance your communication skills.
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