Staff Engineer
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About the role
Our team bridges the gap between our machine learning at scale and our customers' needs. All the parts of the software that customers see and interact with are within our purview. We provide a seamless way for our customers to make decisions, integrate with their systems, learn insights and navigate the ever-changing world of fraud-fighting without needing to understand the complex technology underneath. That means supporting customer-facing APIs, creating a web application that distills complex ML signals, building automation tools that run on a highly-available multi-service architecture, and providing customer-facing analytics to make endless streams of data understandable, actionable, and usable.
Responsibilities
- Architect and implement engineering solutions to address complex customer needs at scale
- Develop, build, and maintain both internal and external facing API platforms and endpoints to enable customer integration, automation, and powering our customer-facing Console web application
- Partner with product management to help scope and shape project requirements
- Collaborate with other engineers within the team as well as across other engineering teams
- Help evolve and improve our engineering practices
- What would make you a strong fit:
- 8+ years experience designing/delivering highly-available services
- Degree in Computer Science or equivalent experience
- Experience with RESTful services, API design, and web technologies
- Experience working in Java
- Strong communication & collaboration skills - a team-first, product-first mindset
- Experience with data pipelines, data modeling, and data warehousing
- Technologies we use:
- Dropwizard, Snowflake, Spanner, Postgres, Redis, MongoDb, GCP, Elasticsearch, Kafka, BigTable
- Let's build it together:
- This document provides transparency around how Sift handles the personal data of job applicants: https://sift.com/recruitment-privacy
- A little about us:
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