Senior Infrastructure Engineer

Upstart

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$166,900–$230,900 / yr
Posted
2 days ago
Freshness
Confirmed live today
Closes
Dec 29, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $199k
$117k most similar roles pay here $243k

This role pays more than 71% of similar roles. Most pay $144,350–$214,000 — the shaded band above. At the midpoint, this role pays about $199k versus about $179k 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 49 open roles on FindRole.

Listed pay typically runs $166,900–$230,450 across 48 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Senior Infrastructure Engineer

As a Senior Infrastructure Engineer on the Data Production Experience team, you will manage and secure the company’s Databricks Lakehouse infrastructure to support machine learning, analytics, and software engineering workflows for lending, fraud, and pricing models. You will be responsible for expanding infrastructure as code, enforcing no-click-ops policies, implementing attribute-based access controls, and automating evidence gathering for OCC, SOX, and SOC audits. Your daily work involves optimizing costs on AWS through compute rightsizing and waste detection while ensuring high availability across multiple environments. To succeed, you must possess expertise in Databricks, Spark, Delta Lake, or Iceberg, along with proficiency in Python, Terraform, Kubernetes, and CI/CD pipelines. You will also evaluate new technologies, mentor junior engineers, and collaborate with cross-functional teams to improve infrastructure reliability and data quality across the organization's core business verticals.

What you'll do

  • Manage and scale Databricks Lakehouse infrastructure across multiple environments using Infrastructure as Code.
  • Implement security controls including least-privilege access, attribute-based controls, and environment isolation.
  • Automate evidence gathering and close control gaps for OCC, SOX, and SOC audits.
  • Optimize cloud costs through waste detection, compute rightsizing, and migration to efficient instances.
  • Evaluate and integrate new technologies and open-source alternatives to expand platform capabilities.
  • Improve infrastructure reliability and developer efficiency by collaborating with cross-functional engineering teams.
  • Mentor junior engineers and advocate for high-quality coding and engineering best practices.
  • Manage the full lifecycle of infrastructure components from technical design through production support.

What we're looking for

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • 5+ years of experience in infrastructure engineering, DevOps, or data platform engineering.
  • Hands-on experience operating a lakehouse or big data platform such as Databricks, Snowflake, Apache Spark, Delta Lake, or Apache Iceberg.
  • Hands-on experience with AWS (IAM, S3, EC2, EKS), Python, infrastructure as code (Terraform or CDK), CI/CD, and Kubernetes.
  • Experience implementing security and compliance controls in audited environments like SOX, SOC 2, GDPR, GLBA, or OCC (preferred).
  • Experience reducing cloud or data platform costs through usage analysis and infrastructure optimization (preferred).
  • Proficiency in DevOps engineering using tools such as Jenkins, APM, and declarative infrastructure (preferred).
  • Familiarity with distributed systems, data architecture design, and big data technologies like Spark, Kafka, and Databricks (preferred).

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