Software Engineer, Lifecycle

Upstart Upstart · Fintech · Remote · Engineering

Software Engineer II on the Lifecycle Platform team at Upstart, a fintech company focused on AI-driven lending. The role involves designing and building scalable backend services for a unified communications platform (SMS, email, push), developing real-time messaging systems, and translating data into marketing capabilities. This position partners closely with marketing, data, and ML teams, requiring strong backend development, microservices, and cloud experience.

What you'd actually do

  1. Design and build scalable backend services that power our unified communications platform across SMS, email, push, and future channels.
  2. Develop systems for real-time, event-triggered messaging and self-serve marketing automation and experimentation capabilities.
  3. Translate large, complex datasets into high-leverage marketing capabilities through APIs, streaming pipelines, and reverse ETL workflows.
  4. Partner closely with product managers, lifecycle marketing, data insights, analytics, and data platform teams to define requirements and deliver impactful, data-driven solutions.
  5. Lead medium-sized projects independently—proactively identifying risks, managing ambiguity, and driving execution from design through launch.

Skills

Required

  • Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 3 years of experience
  • Experience building and operating microservices and APIs in a cloud environment (preferably AWS).
  • Proficiency in at least one backend language such as Kotlin, Java, Ruby, or Python.
  • Demonstrated ability to independently execute on projects, navigate ambiguity, and collaborate effectively with cross-functional partners.
  • Excellent written and verbal communication skills with the ability to work in a distributed team

Nice to have

  • Experience supporting Marketing, Growth, or GTM teams, particularly in environments involving CDPs, customer segmentation, or campaign orchestration.
  • Experience with reverse ETL tools (e.g., Hightouch, Census), data pipeline tooling (e.g., Airbyte, Fivetran, Databricks), or marketing automation platforms (e.g., Iterable, Braze, or Salesforce Marketing Cloud).
  • Familiarity with real-time event streaming systems and high-throughput messaging architectures.
  • Experience integrating with third-party APIs and building systems that ingest, transform, and expose large volumes of data.
  • Track record of leading medium-to-large projects and contributing to system design decisions with long-term platform impact.

What the JD emphasized

  • partner closely with product managers, lifecycle marketing, data insights, analytics, and data platform teams
  • Lead medium-sized projects independently
  • partner closely with ML teams