高级基础设施工程师
Senior Infrastructure Engineer
关于 Upstart
在 Upstart,我们有一个重要的使命:大幅降低所有美国人的借贷成本和复杂性。每天,我们运用创造力、实验精神和先进的 AI 技术,重塑信用获取方式,帮助数百万人以清晰和自信的方式实现财务进步。
作为领先的 AI 贷款平台,我们与银行和信用合作社合作,通过既高度智能又充满人性的技术,扩大可负担信贷的获取途径。我们的平台每名借款人运行超过一百万次预测,使用超过 3000 个信号,为数百万客户做出更明智、更公平的决策。但数字只是影响的冰山一角。每一个想法、每一种声音和每一次贡献,都让我们离一个信用不再阻碍人们财务进步的世界更近一步。
我们自豪地以数字化为先,大多数 Upstarter 可以从他们最擅长的地方完成最佳工作,同时与美国和加拿大多达 80 多个城市的团队成员协作。以数字化为先并不意味着疏远。我们通过团队现场办公、计划会议以及激发创造力和信任的时刻,有意识地加强面对面的联系。无论你选择主要在家工作,还是在哥伦布、奥斯汀、旧金山湾区或纽约市的办公室中进行面对面协作,你都将获得支持,以最适合你的方式工作。
如果你热衷于解决有意义的问题,对有目的的创新感到兴奋,并被真正重要的工作所激励,我们期待你的加入。
团队介绍
数据平台工程团队(Upstart 决策与数据部门的一部分)为整个 Upstart 提供开发工具、框架和可扩展的数据基础设施作为共享服务。该团队的主要目标是为数据分析师、机器学习科学家和软件工程师提供高质量的数据和开发工具,以创建各自产品垂直领域的业务指标和训练数据。
你将加入数据生产体验(PX)团队,该团队负责 Upstart 的 Lakehouse(Databricks)基础设施。这是机器学习、分析和软件工程团队用来构建我们贷款、欺诈和定价模型背后的训练数据和指标的平台,从而推动增长并降低我们各业务领域的风险。
作为一名高级基础设施工程师加入这个团队,你将专注于:
- Lakehouse 基础设施和安全:负责多个环境中的 Databricks 平台
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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 Team
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 a 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
Originally posted on Himalayas