What are the responsibilities and job description for the Staff Engineer position at Sift Science, Inc?
About the team:
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.
What we're looking for:
We're looking for an experienced engineer to help shape our architecture, strengthen our product, and sharpen our toolset as we scale up for our enterprise customers. You should be able to tackle complex, open-ended problems using targeted and scalable solutions all while driving improvements that make the team better.
Great candidates will be passionate about providing great end-to-end customer experience by evolving our data models, scaling and building out reporting, streamlining fraud analyst review queues, and expanding our service infrastructure. You'll bring experience in taking your ideas from concept to customer, at scale, with high quality, and on time. You thrive on high-growth, high-impact opportunities at a growing startup. You have a clear sense of how you can leverage your strengths and past experience while learning new things.
What you'll do:
What would make you a strong fit:
Technologies we use:
Let's build it together:
At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community - ultimately using this empowerment and authenticity to build trust and create a safer Internet.
This document provides transparency around how Sift handles the personal data of job applicants: ;br>
A little about us:
Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Global brands rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.
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.
What we're looking for:
We're looking for an experienced engineer to help shape our architecture, strengthen our product, and sharpen our toolset as we scale up for our enterprise customers. You should be able to tackle complex, open-ended problems using targeted and scalable solutions all while driving improvements that make the team better.
Great candidates will be passionate about providing great end-to-end customer experience by evolving our data models, scaling and building out reporting, streamlining fraud analyst review queues, and expanding our service infrastructure. You'll bring experience in taking your ideas from concept to customer, at scale, with high quality, and on time. You thrive on high-growth, high-impact opportunities at a growing startup. You have a clear sense of how you can leverage your strengths and past experience while learning new things.
What you'll do:
- 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, Google Cloud Platform, Elasticsearch, Kafka, BigTable
Let's build it together:
At Sift, we are intentionally building a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation, equity is a fundamental right, and inclusion is a basic human need. We envision a place where all Sifties feel secure sharing their authentic selves and diverse experiences with their teams, their customers, and their community - ultimately using this empowerment and authenticity to build trust and create a safer Internet.
This document provides transparency around how Sift handles the personal data of job applicants: ;br>
A little about us:
Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Global brands rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.