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Senior Software Engineer, Workflows

Sift

Sift

Software Engineering
United States · San Francisco, CA, USA · Remote
Posted on Tuesday, April 9, 2024

About the team:

Our Workflows team is responsible for several core functions of Sift’s Digital Trust & Safety platform: bulk scoring and routing, up-to-the-minute reporting on business metrics, as well as key customer integration points, all of which work together to drive a seamless, accurate and fast solution for identifying and stopping fraud at scale. We combine customizable tools and powerful infrastructure to analyze and route all manner of transactions in our ongoing effort to build trust on the Internet. If you enjoy planning for scale, drawing on many engineering disciplines to solve difficult problems, and building tremendous customer value in the process, this team is for you.

What we’re looking for:

As a senior software engineer, you will work closely with product managers and other engineering teams to deliver projects on time and mentor engineers on the team. You are an experienced engineer who has built scalable distributed systems and are equally adept at understanding concurrency problems as you are at just getting things done.

What you’ll do:

  • Build highly scalable, distributed services that can handle hundreds of millions of events per day.

  • Partner with product management to help scope and shape project requirements.

  • Implement engineering solutions to address complex customer needs at scale.

  • Collaborate with other engineers within the Workflows team as well as across other engineering teams.

  • Help evolve and improve our engineering practices.

  • Document and demonstrate solutions by developing documentation, flowcharts, diagrams, code comments and maintain good code hygiene.

Technologies we use: Java, GCP (Pub/Sub, Dataflow, BigTable, BigQuery), Kafka, DropWizard, gRPC

What would make you a strong fit:

  • 7+ years of experience building distributed backend systems using Java

  • 3+ years experience designing/delivering highly-available services

  • Bachelor's Degree in computer science, math, engineering, hard science(s), or comparable industry experience

  • Extensive experience using large-scale NoSQL databases like HBase, Cassandra, or Bigtable

  • Strong knowledge of data structures, distributed algorithms, and asynchronous architectures

  • Strong familiarity with setting up, deploying, managing, and deploying to the cloud (e.g. AWS/GCP)

  • Solid understanding of relational database modeling and design, including experience building data-intensive applications in data warehouse technologies like BigQuery, Snowflake or something similar.

  • Strong communication & collaboration skills, and a belief that team output is more important than individual output

Benefits and Perks:

  • Competitive total compensation package

  • 401k plan

  • Medical, dental and vision coverage

  • Wellness reimbursement

  • Education reimbursement

  • Flexible time off

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. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.

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 the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy