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Sift

Senior Software Engineer, Console Platform

Sorry, this job was removed at 08:11 p.m. (PST) on Friday, May 23, 2025
In-Office or Remote
2 Locations
In-Office or Remote
2 Locations

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The Console Platform connects our large-scale machine learning capabilities with our customers' needs, ensuring they can effectively combat fraud without delving into the complexities of the underlying technology. By blending customer-centric design with expertise in big data and distributed systems, we create intuitive solutions that empower users to make informed decisions and gain valuable insights. This includes building a web application that translates complex ML signals, developing automation tools on a highly available multi-service architecture, and delivering customer-facing analytics tools that transform vast data streams into clear, actionable insights.

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 serve our ever-growing 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.

What you’ll do:

  • Design, develop, and maintain an API platform that enables engineers to contribute and expand its capabilities.

  • Partner with product management to define and refine project requirements.

  • Build scalable engineering solutions to address complex customer needs.

  • Collaborate closely with engineers within the Console Platform team and across other engineering teams.

  • Continuously enhance and improve engineering best practices.

What would make you a strong fit:

  • 7+ years of experience in developing distributed backend systems with Java.

  • 3+ years of experience designing and delivering highly available services.

  • Proficiency in RESTful services, API design, and web technologies.

  • Experience working with data pipelines.

  • Degree in Computer Science or equivalent practical experience.

  • Strong communication and collaboration skills with a team-first, product-focused mindset.

Technologies we use:

Java, Dropwizard, BigTable, Kafka, GCP, MongoDb, Postgres, Jenkins, Elasticsearch, gRPC.

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.

HQ

Sift San Francisco, California, USA Office

We are strategically located in the heart of San Francisco’s Financial District, situated close to public transportation hubs, a variety of restaurants, as well as sightseeing and entertainment options.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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