669 day(s) ago

Staff Engineer vacancy at Sift

Negotiable salary

Remote worker location: United States
English: Advanced, Upper Intermediate, Native Speaker
Experience: 3+ years
Employment: Full-time


Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.

The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.


Own the availability, performance and scalability of Sift’s primary online storage systems and infrastructure
Solve complex problems that arise from our unique data volume and request rate which may involve digging deep into data store and messaging internals
Design and implement services and libraries for components to interact with data stores, messaging layer and services platform
Think of infrastructure as code, build immutable infrastructure and multi-AZ/multi-region fault tolerant systems.
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, messaging, caching and service platform


Strong experience with either Java or Python.
Experience building and developing distributed systems.
Experience solving problems with production systems, and building solutions and automations to prevent them from reoccurring.
Hands-on experience running and managing production distributed databases, messaging, caching and service platforms
Experience building & managing cloud infrastructure on AWS or GCP
Experience building and debugging tools on Linux environments
Strong experience with monitoring and alerting systems, both open source and commercial
Familiarity with Docker and container clustering technologies like Kubernetes and GKE

Skills considered as a good plus

Experience with BigTable, HBase, BigQuery, Kafka, MongoDB, PostgreSQL, ElasticSearch, Redis, Redshift or Memcache
Experience in DevOps / Site Reliability Engineer
Have strong SQL skills and knowledge and familiarity with distributed data stores
Familiar with configuration management and automation systems such as Terraform Salt, etc.
Familiar with Docker and Kubernetes

Perks & Benefits

Competitive total compensation package
401k plan
Medical, dental and vision coverage
Wellness reimbursement
Education reimbursement
Flexible time off

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