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Added 20 mins ago
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 20 mins ago
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Evertz
Burlington, ON
Full-time
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on VUE, our…
Added 21 mins ago
Sr Associate Machine Learning Engineer
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Vancouver, BC · Canada, BC, Vancouver
Full-time
2+ years of professional experience with Python, Java, C++, etc. and supporting numeric libraries, with experience in shipping production code and models
Added 21 mins ago
Lead Harness Engineer
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AB
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Added 35 mins ago
Software Engineer, Full-Stack - Agents Cross-FA
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Remote, Canada
$125,000 to $130,000 CAD / year
Full-time · Remote
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Added 35 mins ago
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Staff Data Scientist, Applied ML
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Staff Data Scientist, Applied ML
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Staff Data Scientist, Applied ML
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Added 1 hour ago
Senior Data Integration Engineer
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Toronto, ON
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Added 2 hours ago
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AI Solutions Engineer
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Cloud Analyst
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Good knowledge with programming and/or scripting languages (Python, React/TypeScript, NodeJS, Bash)
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Lead Data Engineer (AI & Data Strategy)
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Contract
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Added 2 hours ago
Data Scientist
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Added 2 hours ago
Broadcasting and Media Engineer
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Added 3 hours ago
Machine Learning Operations Engineer/Senior
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Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
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Added 3 hours ago
AI Infrastructure Engineer
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Full-time
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Added 3 hours ago
Senior Software Developer, AI Solutions
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Full-time
client is looking for a senior software engineer - a builder first - for our AI Solutions team. This is a hands-on development role, not machine-learning research: you’ll build production…

Upstart

Senior Infrastructure Engineer

Canada

Pay: $166,900 - $230,900 USD
Experience: 5+ years of experience in infrastructure engineering, DevOps, or data platform engineering.
Posting language: English
Posted: Sep 29, 2026

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Original job description

About Upstart

At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.

As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.

We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you.

If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, 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 Data Production Experience (PX) team, which owns Upstart’s Lakehouse (Databricks) infrastructure. This is the platform that Machine Learning, Analytics, and Software Engineering teams use to build the training data and metrics behind our lending, fraud, and pricing models - enabling growth and reducing risk across our business verticals.

As the Senior Infrastructure Engineer joining this team, you will focus on:

Lakehouse Infrastructure and Security: Own the Databricks platform across multiple environments, including a newly launched regulated environment (Upstart Bank). Responsibilities include expanding infrastructure as code for new Lakehouse features, enforcing a no-click-ops policy, establishing disaster recovery, implementing least-privilege and attribute-based access controls (e.g., based on data classification), ensuring environment isolation, and resolving other known security risks.
Compliance: Close control gaps and automate evidence gathering for OCC, SOX and SOC audits across access management, change management, and data quality.
Cost and usage efficiency: Reduce Databricks and AWS spend through accurate cost attribution, waste detection, and platform-level optimizations (e.g., compute rightsizing, improving pruning, migrating to Graviton and spot instances, Delta Lake Archival).

How you’ll make an impact

Evaluate and adopt new technologies, including open-source lakehouse alternatives, to expand platform capabilities.
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.
Own Lakehouse infrastructure components end to end, from technical requirements and design through rollout and production support.

Minimum Qualifications

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 (e.g., Databricks, Snowflake, Apache Spark, Delta Lake, Apache Iceberg).
Hands-on experience with AWS (e.g., IAM, S3, EC2, EKS), Python, infrastructure as code (Terraform or CDK), CI/CD, and Kubernetes.

Preferred Qualifications

Experience implementing security and compliance controls in audited environments (e.g., SOX, SOC 2, GDPR, GLBA, OCC), including access management, encryption, and change management.
Experience reducing cloud or data platform costs through usage analysis, cost attribution, and infrastructure optimization (e.g., Graviton or spot instances, storage tiering).
Ability to reason from first principles and work effectively through ambiguity on complex, cross-functional problems.
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.
Experience using AI coding assistants or agents to accelerate infrastructure development and operations.
Familiarity with distributed systems, data architecture design, and big data technologies (e.g., Spark, Kafka, Lakehouse, Databricks)

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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

$166,900 - $230,900 USD

What you'll love

At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect:

Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada.
Health Savings Account contributions from Upstart for eligible plans (US only)
Income protection benefits, including life insurance and disability coverage for added financial security
Paid time off, sick leave, and company holidays, in line with local requirements
Paid family and parental leave to support caregiving and major life moments (duration varies by country)
Family-centered benefits to support fertility, parenthood, and caregiving needs
Employee Assistance Program (EAP) offering mental health support and life-centered resources
Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
Connection and community through team events, all-company updates, and employee resource groups (ERGs)
Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City

For roles based in Canada, please note that we are not currently able to hire in Quebec.

Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.

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 candidate_accommodations@upstart.com

https://www.upstart.com/candidate_privacy_policy

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More about this job

Responsibilities

The Senior Infrastructure Engineer will own and scale the Databricks Lakehouse platform while ensuring security, compliance, and cost efficiency across multiple environments. They will collaborate with cross-functional teams to improve developer efficiency, reliability, and observability of data infrastructure.

Requirements

Candidates must have a bachelor's degree in Computer Science or equivalent experience and at least 5 years of experience in infrastructure or DevOps engineering. Proficiency in AWS, Python, infrastructure as code, and big data technologies like Databricks or Spark is required.

Skills

Infrastructure engineering
Databricks
AWS
Python
Terraform
Kubernetes
CI/CD
Data platform engineering
Security
Compliance
Cloud networking
Distributed systems
Apache Spark
Delta Lake
Infrastructure as code
Observability

Benefits

Competitive compensation
Bonus opportunities
Annual equity grants
401(k) retirement plan
Company match
Employee Stock Purchase Plan
Health coverage
Dental coverage
Vision coverage
Health Savings Account
Life insurance
Disability coverage
Paid time off
Sick leave
Paid family and parental leave
Employee Assistance Program
Financial wellness resources
Annual wellness allowance
Annual productivity allowance

Visa sponsorship

Not detected in the job text

Keywords

Infrastructure Engineering
DevOps
Data Platform
Databricks
AWS
Python
Terraform
Kubernetes
CI/CD
Lakehouse
Apache Spark
Delta Lake
Cloud Networking
Security
Compliance
SOX
SOC
OCC
Distributed Systems
Observability
Automation
Infrastructure as Code
AWS IAM
AWS S3
AWS EKS
Graviton
Spot Instances
Data Architecture
AI Coding Assistants
Cloud Optimization

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