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CardlessCardlessSan Francisco, CA

Software Engineer

Backend engineer designing, building, and scaling systems for a co-branded credit card platform across applications, accounts, transactions, fraud, risk, and rewards. Requires 5+ years experience with distributed systems, modern backend languages, and end-to-end project ownership.

165k – 260k
On-site5+ YOEBackend Engineering

About the role

Responsibilities

  • Design and build scalable, secure, and high-performance backend systems and services that support Cardless’s core financial products.
  • Contribute to architectural discussions and decisions to evolve our platform as we grow.
  • Take ownership of projects from design through production — including requirements gathering, implementation, testing, deployment, and ongoing maintenance.
  • Collaborate cross-functionally with product managers, designers, other engineers, and stakeholders (external partners, risk, compliance) to deliver high-quality features quickly and reliably.
  • Identify and drive improvements in system reliability, observability, performance, and developer experience.
  • Provide technical guidance and thought partnership to peers across the engineering organization.

Requirements

  • Strong experience designing and implementing backend systems and services that operate at scale (typically 5+ years of industry experience).
  • Solid understanding of distributed systems, APIs, databases, and infrastructure fundamentals.
  • Proficiency with a modern backend language (e.g. Java, Python) and ecosystem.
  • Track record of delivering complex technical projects end-to-end, collaborating effectively with cross-functional partners.
  • Deep, low-level expertise in one or more backend domains (e.g., databases, scaling systems, distributed systems).
  • Passion for building robust, maintainable systems that have real-world impact for customers.

Nice-to-Haves

  • Experience building and maintaining external, public-facing APIs.
  • Familiarity with financial systems, reconciliation workflows, or data integrity challenges.
  • Exposure to ML pipelines or feature stores.

Compensation

  • Annual starting salary range of $165,000-$260,000 + equity + benefits.
  • Benefits include meaningful start-up equity, 100% health/vision/dental primary coverage, 75% dependent coverage, catered lunches, $250/month commuter benefit, parental leave, team building events, flexible PTO (min 15 days), Apple equipment, 401k plan.

Skills

JavaPythonDistributed SystemsAPIsDatabasesScaling SystemsMl Pipelines
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