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Upstart

Senior Infrastructure Engineer

Sorry, this job was removed at 02:10 a.m. (PST) on Friday, Nov 21, 2025
Easy Apply
Remote
2 Locations
164K-226K Annually
Easy Apply
Remote
2 Locations
164K-226K Annually

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About Upstart

Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.

Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!

The Data Platform Engineering team (Part of Upstart's Decisioning & Data) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart. The team's primary objective is to provide Data Analysts, ML scientists, and Software Engineers access to high-quality data and developer tools to create business metrics and training data for respective product verticals. 

You will join the subdivision that focuses on data infrastructure & observability. 

As the Senior Infrastructure Engineer joining this team, you will get the opportunity to contribute to 3 areas:

  1. Managing the Lakehouse (Databricks) infrastructure, including access control, security, and observability.
  2. Continuously enhance data infrastructure observability, with a focus on cost and usage efficiency within the data engineering space.
  3. Improve the build-test-deploy-monitor pattern for data apps and stack like Change Data Capture, Spark, Kafka, etc. 

We would love to hear from you if you are passionate about infrastructure and observability!

Position Location - This role is available in the following locations: Remote, San Mateo, Columbus, Austin 

Time Zone Requirements - This team operates across all U.S. time zones.

Travel Requirements - This team has regular on-site collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

How you’ll make an impact:

  • Help build Upstart's cloud infrastructure that aligns with the overall business objectives by participating in planning and prioritization. 
  • Improve developer efficiency and infrastructure reliability by working with cross-functional stakeholders like Data Engineering, Machine Learning, Analytics, Compliance, and Security. 
  • Improve Lakehouse security, usage efficiency, and observability by collaborating closely with the Data Engineering and Security teams.
  • Evangelize good coding and engineering best practices while uplifting fellow engineers and mentoring junior team members.
  • Help break down complex projects and requirements into quarterly commitments and sprints.
  • Provide top tier support for our data apps and keep them highly available

What we’re looking for: 

  • Minimum requirements:
    • A bachelor's degree in Computer Science or a related field.
    • 5+ years of experience in infrastructure engineering, DevOps or related fields, with a strong focus on data infrastructure (bonus).
    • Hands-on experience in AWS cloud services (EC2, SQS, S3, Lambda, EKS).
    • Strong experience working with Python or similar scripting languages.
    • Strong DevOps/SRE knowledge and expertise in multiple areas, including scripting, IaC, automation, configuration management, and containerization/container orchestration (Kubernetes).
    • Ability to approach problems with first principles thinking, embrace ambiguity, and enjoy collaborative work on complex solutions. 
    • Hands-on experience with both open-source and enterprise application performance monitoring solutions.
  • Preferred qualifications:
    • Strong foundation in algorithms and data structures, with an emphasis on real-world applications.
    • Proficient in DevOps engineering, leveraging Continuous Integration/Continuous Delivery (CI/CD) tools such as Kubernetes, Jenkins, CDK, APM, Terraform, and more. Experienced in automation, alerting, monitoring, security, and declarative infrastructure.
    • Solid understanding of cloud networking fundamentals.
    • Skilled at explaining complex concepts in simple, accessible terms and thriving in fast-paced, ambiguous environments.
    • Familiarity with distributed systems, data architecture design, and big data technologies (e.g., Spark, Kafka, Lakehouse, Databricks) is a plus.

What you'll love: 

  • Competitive Compensation (base + bonus & equity)
  • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 
  • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
  • Employee Stock Purchase Plan (ESPP)
  • Life and disability insurance
  • Generous holiday, vacation, sick and safety leave  
  • Supportive parental, family care, and military leave programs
  • Annual wellness, technology & ergonomic reimbursement programs
  • Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
  • Catered lunches + snacks & drinks when working in offices

#LI-REMOTE

#LI-MidSenior 

At Upstart, your base pay is one part of your total compensation package.  The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

United States | Remote - Anticipated Base Salary Range
$163,600$226,400 USD

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together. 

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected]

https://www.upstart.com/candidate_privacy_policy

HQ

Upstart San Mateo, California, USA Office

Upstart's office in San Mateo is located on the peninsula between San Francisco and the South Bay with easy Caltrain access and proximity to several apartment complexes. The office is close to several shopping donations including an outdoor beer garden.

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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