Senior Software Engineer, Lifecycle

Upstart

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $166,900–$230,900 / yr
Posted: 30 days ago
Closes: Sep 17, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k

This role $199k

$138k most similar roles pay here $241k

This role pays more than 59% of similar roles. Most pay $147,801–$222,000 — the shaded band above. At the midpoint, this role pays about $199k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Upstart

Upstart is an AI lending platform that partners with banks and credit unions to expand access to affordable credit using non-traditional variables.

Upstart currently has 53 open roles on FindRole.

Listed pay typically runs $172,100–$238,300 across 53 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Senior Software Engineer, Lifecycle

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As a Senior Software Engineer on Upstart’s Foundations team, you will play a pivotal role in scaling and extending backend data systems that support critical marketing initiatives. Your responsibilities include building and maintaining scalable backend systems and data pipelines to enable efficient audience segmentation and marketing attribution workflows. You will collaborate closely with product managers, marketers, and engineers to deliver high-quality data solutions that drive customer acquisition and conversion goals. Additionally, you will extend existing infrastructure to handle growing data volumes and evolving business needs while contributing to data quality initiatives through monitoring and validation mechanisms. The role requires expertise in backend distributed systems, large-scale data platforms, and experience with fault tolerance, monitoring, and observability practices. Familiarity with data governance and PII security is also beneficial as you work on a platform that directly influences customer acquisition outcomes at scale.

Skills

Python Java Kafka Docker AWS PostgreSQL Redis CI/CD Git GraphQL Kubernetes Terraform Prometheus Grafana

What you'll do

Build and maintain scalable backend systems for audience segmentation and marketing attribution.
Extend data infrastructure to handle increasing volumes and evolving business needs.
Implement monitoring and validation mechanisms to ensure high data quality.
Partner with product managers, marketers, and engineers to deliver critical data solutions.
Participate in technical discussions on architecture and platform scalability.

What we're looking for

5+ years of experience building and maintaining backend distributed systems or large-scale data platforms.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent).
Experience working with data processing systems, databases, and pipelines in production environments.
Expertise in implementing fault tolerance, monitoring, and observability practices for backend systems.
Strong collaboration skills with engineering, product, and business stakeholders to deliver technical solutions.

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