Senior Infrastructure Engineer

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, ambig