The Team: 

Upstart Bank is an evolution of Upstart’s AI lending platform, focused on simplifying the regulatory infrastructure behind our marketplace while expanding access to credit nationwide. By moving from a fragmented, state-based system to a unified federal framework, Upstart Bank enables more consistent borrower experiences, reduces structural costs, and unlocks opportunities to improve pricing, compliance, and access to credit at scale.

As Senior Manager, Software Engineering for Upstart Bank, you will lead one or more engineering teams responsible for a critical area of the bank platform. You will translate product, regulatory, and operational priorities into technical plans and reliable execution across systems spanning areas such as payments, funding, reporting, or integrations. You will partner closely with Product, Compliance, Legal, Risk, Finance, Operations, and senior engineering leaders to deliver scalable, reliable, and audit-ready infrastructure for a modern banking platform.

This is a rare opportunity to help build a modern bank platform from an early foundation rather than inherit a legacy core.

How you’ll make an impact

• Lead and grow one or more engineering teams responsible for a critical area of the Upstart Bank platform
• Drive execution across complex, bank-critical systems in areas such as ledgering and funding, deposits and payments, reporting, or integrations
• Partner with Product, Compliance, Legal, Risk, Finance, and Operations to translate business and regulatory needs into technical plans and delivered software
• Contribute to technical direction and architecture for your area, ensuring systems support reliability, resilience, security, traceability, and auditability
• Manage cross-functional dependencies and improve the predictability and quality of delivery across teams
• Build engineering processes that support internal controls, audits, change management, and reliable operation in a regulated environment
• Hire, coach, and develop engineers and emerging engineering leaders
• Foster a culture of rigor, ownership, accountability, and continuous improvement

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
• 8+ years of engineering experience, including 3+ years of engineering management experience
• Experience leading engineering teams through complex, cross-functional platform or infrastructure initiatives
• Strong technical background with experience contributing to architecture and technical direction for distributed systems, cloud platforms, or business-critical infrastructure
• Experience operating in regulated, high-control, or high-reliability environments where quality, controls, auditability, and change management are critical

Preferred Qualifications

• Experience building or integrating core financial infrastructure such as ledgering, payments, deposits, funding systems, reporting, or financial integrations
• Experience in banking, fintech, payments, lending, or other regulated financial systems
• Experience building platforms that support internal controls, audits, and reliable operation in regulated environments
• Experience leading platform modernization, core-system launches, vendor integrations, or major infrastructure transformations
• Experience developing senior engineers, tech leads, or emerging engineering leaders
• Demonstrated ability to balance speed, quality, reliability, and compliance in high-stakes technical environments
• Interest in improving access to credit through technology and scalable financial infrastructure

Position location This role is available in the following locations: Remote

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.

#LI-REMOTE
#LI-MidSenior 

The Role

As a Senior Mobile Software Engineer on Upstart’s Cash Line team, you’ll build mobile experiences for a new consumer credit product that gives customers always-on access to a reusable line of credit they can draw from, repay, and use again in real time. You’ll use React Native to ship high-quality features that directly shape how customers discover, access, and manage Cash Line in the mobile app.

This is a hands-on role for an engineer who wants to own end-to-end feature delivery, make strong technical decisions, and help define the mobile experience for a foundational new business line at Upstart. You’ll work closely with product, design, backend, and cross-functional partners to build thoughtful, reliable experiences in a space where speed, correctness, and customer trust all matter.

The Team

The Cash Line team is building one of Upstart’s newest consumer products: a revolving credit experience designed to create a more durable, recurring relationship with customers beyond a one-time loan. As part of that work, the team is shaping the mobile experience for a product with broad visibility across the customer journey, from application and approval through ongoing account access and reuse.

We’re a fast-moving, highly cross-functional team working at the intersection of consumer product, real-time systems, and financial infrastructure. Our engineers partner closely with teams across product, growth, finance, compliance, and capital markets, and we value people who can combine strong product instincts with pragmatic execution in an ambiguous, high-impact environment.

What You’ll Do

• Build and ship user-facing mobile features for Cash Line in React Native across iOS and Android as the product expands.

• Design mobile components and systems that are scalable, maintainable, and reliable for a product that operates in real time and directly affects customers’ access to credit.

• Partner closely with product, design, and backend engineers to scope, build, and launch experiences that balance customer needs, business goals, and technical quality.

• Help define the mobile experience for a foundational new business line, contributing both to near-term feature delivery and longer-term platform direction.

• Improve mobile developer velocity and product quality through better tooling, testing approaches, release practices, observability, and performance monitoring.

• Work with backend partners to shape APIs and integration patterns that create smooth, resilient client-server experiences.

• Identify and resolve performance, usability, and reliability issues in the mobile product, with a strong focus on long-term maintainability.

• Contribute to engineering quality through code review, system design discussions, technical planning, and mentorship across the team.

We’re Excited About You Because You…

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience
• Have experience building in React Native, and familiarity with at least one native platform (e.g., Swift/Objective-C for iOS or Kotlin/Java for Android).
• Understand mobile performance, memory management, and platform-specific constraints.
• Communicate effectively with cross-functional partners in product, design, and backend engineering.
• Take ownership of your work and are comfortable delivering complex features from planning through release.
• Balance speed and quality, and advocate for maintainable, scalable engineering solutions.
• Contribute to team culture and engineering practices through feedback, mentoring, and collaboration.
• Embrace a growth mindset and enjoy learning from others while helping teammates grow.

Bonus Points If You…

• Have helped launch or scale a React Native app on the Android platform.
• Are comfortable working with TypeScript or custom native modules.
• Have experience with mobile analytics, push notifications, deep linking, or A/B testing frameworks.
• Have worked in a fast-paced product company where mobile was a primary user touchpoint.
• Have contributed to internal tools, processes, or systems that improved mobile developer velocity or code quality.

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.

#LI-REMOTE

#LI-MidSenior

The Team

The Machine Learning Platform team builds the foundational technology that scales machine learning innovation across Upstart. As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering—collaborating closely with Research Scientists, Data Scientists, and ML Platform Engineers to design tools and systems that accelerate model development to ultimately improve predictive accuracy. Success in this role requires deep knowledge of ML throughout the entire modeling lifecycle - from data preparation to training and deployment to production.

In this role, you will lead engineering initiatives that turn high-impact modeling needs into scalable, reusable infrastructure. This includes building a unified embeddings platform for training, serving, and managing representations at scale; streamlining feature engineering pipelines to reduce manual steps and deliver new signals quickly; developing automated continuous-learning systems that handle data refresh, retraining, evaluation, and drift monitoring with minimal manual effort; and scaling our training pipelines to support larger datasets, more complex architectures, and faster experimentation.

Across all of these efforts, you will work backward from applied ML projects that meaningfully improve accuracy—using those real-world scenarios to harden the platform capabilities that enable ML teams across Upstart to innovate with greater speed, reliability, and impact.

How You’ll Make an Impact

• Scale ML innovation by building tools, infrastructure, and workflows that dramatically improve the speed and reliability of model development.
• Work backward from modeling needs to design systems that directly unlock gains in accuracy, efficiency, and scientific productivity.
• Explore new algorithms and methodologies for our machine learning models and develop tooling to support them
• Improve the entire ML lifecycle—from data readiness and feature development through training, evaluation, serving, and monitoring.
• Automate and standardize operational workflows, enabling scientists to focus on high-leverage modeling and analysis rather than manual pipelines.
• Define the roadmap for our next generation ML Platform, balancing near-term impact with long-term architectural scalability.
• Collaborate cross-functionally with Data Engineering, ML Platform, Pricing, and other teams to build reliable, end-to-end ML systems.

Your work will multiply the effectiveness of every ML team at Upstart—accelerating innovation and advancing our mission to make credit more accurate, accessible, and fair.

This is a high influence role suited for those who enjoy combining science innovation, with cross functional collaboration and advisory. 

Minimum Qualifications

• 7+ years of hands-on experience in applied machine learning, with strong exposure to production-scale modeling efforts.
• Demonstrated expertise in end-to-end model development: data prep, feature engineering, training, evaluation, and deployment.
• Experience working in high-scale, ML-driven product environments—especially in fintech, pricing, or risk modeling.
• Proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost).
• Ability to work autonomously and lead technical direction in ambiguous, high-impact domains.
• Experience collaborating with cross-functional teams including ML scientists, engineers, and product partners.
• Ability to bridge engineering and science teams, and influence technical strategy across disciplines.
• Numerically-savvy and smart with ability to operate at a fast pace
• Master’s degree or PhD in a quantitative discipline, or equivalent additional professional experience. 

Preferred Qualifications

• Practical experience optimizing ML workflows using CUDA/GPU acceleration.
• Background in feature store design, embedding architecture, or synthetic data generation for model training.
• Proven track record of improving model accuracy in production environments with measurable business outcomes.
• Familiarity with modern experimentation frameworks, hyperparameter tuning tools, and automated model selection techniques.

The Team

The Core Pricing team is at the heart of Upstart’s financial infrastructure. Nearly every borrower experience, product workflow, and partner integration relies on the systems this team builds and maintains. Core Pricing owns critical backend services that price loans across products and partners, integrate with underwriting models and downstream platforms, and operate under strict requirements for latency, correctness, and reliability. These services sit directly on the revenue path and function within a regulated environment, serving both internal and external stakeholders. The team supports a mix of legacy infrastructure and greenfield development as we continue evolving our pricing architecture. As a Senior Engineering Manager on the team you will help drive results in this dynamic and critical environment. 

How You’ll Make an Impact

• Lead, coach, and grow a team of backend engineers and an engineering manager, fostering a culture of accountability and ownership.

• Own team execution and delivery across multiple quarters, ensuring Core Pricing systems meet high standards for uptime, accuracy, and responsiveness.

• Guide technical strategy across legacy and next-generation pricing systems, balancing short-term execution with long-term architectural goals.

• Ensure changes to pricing systems are production-safe, observable, and rigorously validated, maintaining SLAs and leading incident response when needed.

• Collaborate cross-functionally with Product, Risk, Servicing, Analytics, and external partners to deliver complex, multi-team initiatives.

• Use key metrics—including reliability, latency, and partner escalations—to align engineering priorities with borrower impact and business objectives.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience, including at least 3 years of direct people management experience

• Strong executive presence, with a track record of influencing cross-functional leaders using data, business context, and sound judgment.

• Strong product and business judgment, including the ability to assess tradeoffs, risk, and long-term implications.

• Demonstrated ownership of systems with strict requirements for reliability, latency, and correctness.

• Experience in pricing, fintech, lending, payments, marketplaces, or real-time decisioning systems. 

• Strong system design and architectural judgment, with the ability to go deep technically when needed.

• Deep experience leading backend and distributed systems in production environments.

• Proven success leading complex, cross-functional initiatives over multiple quarters.

• Strong communication skills with the ability to work effectively across technical and non-technical audiences.

Preferred Qualifications

• Experience operating in regulated environments and working with external partners.

• Experience in fintech or financial services, particularly in pricing, risk, or ML-adjacent domains where correctness and compliance are critical.

• 4–7 years leading high-performing engineering teams.

• Experience managing managers and leading organizations of 20+ engineers

Position location This role is available in the following locations: Remote, USA

Time zone requirements The team operates on the East and West coast time zones.  

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.

#LI-REMOTE

#LI-Director 

The Team

Cash Line is Upstart’s new always on revolving credit product designed to expand access to responsible, fairly priced credit. Instead of a traditional rewards driven credit card model, Cash Line rethinks how credit is structured and priced, using AI driven underwriting to better separate risk and reduce the need for cross subsidized rewards.

We are a small, senior engineering team operating like a startup inside Upstart. The team owns the product end to end, from consumer facing experiences in the mobile app to the backend systems that power underwriting, pricing, servicing, and capital markets integrations.

This is a high ownership environment. The codebase is new. The architecture is still being shaped. You will work closely with product, growth, finance, compliance, and capital markets partners to build a category defining credit experience.

We are building with generative AI as a core capability from day one, both in the customer experience and in how we build and operate the product internally.

How you’ll make an impact:

• Design and build the core backend systems that power a new revolving credit product used directly by consumers.

• Own distributed services that support underwriting, pricing, line management, transactions, and servicing with high reliability and observability.

• Translate complex product and economic requirements into scalable technical systems, balancing speed, risk, and long term maintainability.

• Partner closely with machine learning engineers and data teams to productionize models and integrate AI driven decisioning into real time user flows.

• Collaborate with mobile engineers to deliver seamless consumer facing features, ensuring backend systems are optimized for real world usage patterns.

• Work across the full lifecycle of credit, from consumer acquisition and onboarding through funding, servicing, and capital markets distribution.

• Shape foundational architectural decisions in a greenfield environment, while thoughtfully integrating with systems from Upstart’s mature lending platform.

• Contribute to a Gen AI first product strategy, helping define how generative AI enhances user experience, internal tooling, automation, and operational workflows.

• Raise the bar for engineering quality through strong API design, data modeling, observability, testing, and operational rigor.

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience

• Strong experience designing distributed systems and event driven architectures, including real world handling of retries, idempotency, fault tolerance, and failure modes.

• Proficiency in an object oriented language such as Python, Java, Kotlin, C#, or Ruby, and experience building and maintaining APIs and service oriented architectures.

• Experience shipping consumer facing features end to end, with a strong understanding of latency, reliability, and user impact.

• Ability to work effectively in ambiguous, zero to one environments where requirements evolve quickly.

• Strong cross functional collaboration skills and comfort working closely with product, finance, compliance, and other business stakeholders.

• Active use of AI tools in engineering, with a forward-looking perspective on how AI is reshaping software development.

• Exceptional communication and collaboration skills; able to align teams and advocate for high-impact solutions across functions.

Preferred Qualifications

• Experience in fintech, credit, payments, or other regulated financial systems.

• Familiarity with revolving credit, line management, transaction processing, or ledger based systems.

• Experience building systems that sit at the intersection of consumer products and capital markets infrastructure.

• Background working with ML driven pricing, underwriting, or risk systems.

• Hands on experience leveraging generative AI in product features or internal engineering workflows.

• Experience on small, high ownership teams where engineers are responsible for architecture, implementation, and operational excellence.

• Passion for building products that expand access to credit and improve financial outcomes for underserved consumers.

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.

#LI-REMOTE

#LI-MidSenior --> use for L5, L6

The Team: 

As the Director, Software Engineering, Mobile Platform, you will lead and scale Upstart’s Mobile Platform organization, shaping and driving our overall mobile platform strategy. With the majority of customer interactions now occurring via mobile, this channel is central to Upstart’s continued growth and to our ability to operate as a multi-product company. As an example, Upstart recently announced our first mobile-only product, CashLine. Your leadership will ensure that our mobile platform reliably supports every current and future product, while delivering a seamless, engaging, and high-performing customer experience. Specifically, Mobile Platform engineering is responsible for:

• Building a Strong Foundation – Developing shared platform capabilities (e.g., account creation, navigation, and observability) that power all loan products on mobile.
• Accelerate Mobile Development – Reducing friction for product teams by providing reusable components, reliable release pipelines, and high-quality testing frameworks.
• Expanding Our Reach – Improving application discoverability and onboarding flows (including app downloads and account creation) to bring more customers to Upstart.
• Maximizing Customer Lifetime Value – Enabling users to seamlessly manage their loan applications, access credit repeatedly, and make monthly repayments effortlessly.

As a key engineering leader, you will collaborate closely with Product Management, Legal & Compliance, UX/UI Design, Data Analytics, and Loan Product teams to drive mobile innovation and excellence. You will have the opportunity to refine the scope and strategy of Upstart’s mobile platform, as well as the long-term organizational structure of the mobile platform engineering team. 

How you’ll make an impact

• Define and drive the mobile platform vision – Establish a culture of technical excellence, innovation, and collaboration.
• Lead and grow a high-performing team – Recruit, mentor, and develop engineering leaders and individual contributors, fostering a sense of ownership and accountability.
• Deliver a world-class mobile experience – Lead the development of a robust, native iOS application that enables users to apply for loans, manage their accounts, and handle repayments seamlessly.
• Operationalize success metrics – Establish clear KPIs to measure engineering efficiency, product performance, and business impact.
• Drive automation and process improvements – Champion best practices in mobile development, CI/CD, testing, and deployment.
• Strategic Roadmapping & Prioritization – Partner with cross-functional teams to develop and execute medium- and long-term mobile strategies.

What we're looking for

• Proven experience leading mobile engineering teams in high-growth, consumer-facing technology companies.
• Strong background in native mobile development using React Native (both iOS and Android preferred), including deep expertise in engineering best practices, frameworks, and scalable architectures.
• Demonstrated ability to scale and structure teams, balancing technical leadership with people management.
• Experience working closely with Product, Design, and Analytics to develop customer-centric mobile experiences.
• A data-driven mindset, with a strong ability to measure impact and drive continuous improvement.

Position location This role is available in the following locations: Remote

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.

#LI-REMOTE

#LI-Director --> use for L7

The Team: 

Upstart Bank is an evolution of Upstart’s AI lending platform, focused on simplifying the regulatory infrastructure behind our marketplace while expanding access to credit nationwide. By moving from a fragmented, state-based system to a unified federal framework, Upstart Bank enables more consistent borrower experiences, reduces structural costs, and unlocks opportunities to improve pricing and access to credit at scale.

As a Senior Software Engineer on the Upstart Bank team, you will design and build systems that enable Upstart Bank to operate at scale. Depending on the team, your work may span funding, payments, reporting, partner integrations, and internal operational workflows. You’ll help build reliable, audit-ready software in a regulated environment while supporting seamless borrower and partner experiences.

How you’ll make an impact

• Design and build scalable systems, services, and user-facing workflows that support Upstart Bank’s core platform and operations
• Own technical design and delivery for medium-to-large engineering projects spanning multiple quarters
• Translate business, operational, and regulatory requirements into reliable, maintainable software
• Improve system reliability, performance, observability, and data consistency across distributed services and integrations
• Contribute to architecture and design discussions, helping systems evolve for scale, auditability, and long-term maintainability
• Partner with product, compliance, operations, and other engineers to deliver high-quality solutions in a regulated environment
• Uphold a high engineering bar through strong implementation, code review, testing, and operational ownership

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience
• Experience building and operating production software systems in backend or full-stack environments
• Experience building scalable services, APIs, or web applications in cloud environments
• Experience owning the technical delivery of medium-to-large engineering projects spanning multiple quarters
• Proficiency in at least one modern programming language such as Python, Java, or Kotlin

Preferred Qualifications

• Experience working in fintech, banking infrastructure, payments, or other regulated financial systems
• Familiarity with distributed systems, event-driven architectures, and communication frameworks such as Kafka or gRPC
• Experience building systems that support reliability, auditability, and strong operational controls
• Experience working with reporting pipelines, financial data flows, partner integrations, or internal operational tooling
• Ability to collaborate effectively with product, compliance, operations, and engineering partners
• Experience working across both backend services and user-facing application layers
• Proven ability to thrive in diverse work environments, including collaborative, self-directed, remote, and in-person settings.

Position location This role is available in the following locations: Remote

Time zone requirements The team operates on the East/West coast time zones.

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.

#LI-REMOTE
#LI-MidSenior

The Team: 

Upstart’s Marketplace Optimization team is responsible for optimizing market-level outcomes, balancing tradeoffs for borrowers, capital providers, and Upstart. The team builds the dynamic policy levers, matching and offer-selection logic, and monetization tooling that clear the marketplace, manage margins, and maximize capital utilization efficiency.  Our mandate is to enable automated, data-driven decisions that improve originations, contribution margin, and capital efficiency while supporting new products and partner integrations.

As the Senior Engineering Manager on the team for Marketplace Optimization, you will lead high-impact engineering squads that turn marketplace strategy and ML-backed signals into reliable production systems. You’ll partner closely with Product, Machine Learning, and Capital Markets to deliver scalable capital routing, matching, and monetization automation capabilities that directly affect borrower outcomes and capital performance. You will set execution priorities, remove blockers, and develop engineers to ship production-grade services that are observable, performant, and safe for a regulated fintech environment.

How you’ll make an impact:

• Define and execute the team’s technical roadmap: deliver matching, offer-selection, monetization, and target-return logic and features that improve marketplace outcomes
• Build and grow a high-performing engineering team: hire, mentor, and develop engineers and ICs; establish clear expectations and career growth paths
• Drive technical excellence: own architecture and delivery decisions for scalable, fault-tolerant services, data pipelines, and APIs that integrate with ML models and capital systems
• Collaborate cross-functionally with Product, ML, Capital Markets, and Risk to translate business goals into prioritized, measurable engineering work
• Own operational reliability and observability: establish SLOs/SLIs, alerting, runbooks, and post-incident practices to ensure marketplace integrity and fast incident response
• Lead delivery and execution: unblock teams, manage technical and organizational risks, and ensure high-quality, timely releases while balancing speed and safety

What we’re looking for: 

Minimum requirements:

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience, including at least 3 years of direct people management experience.
• Proven success leading and scaling high-performing engineering teams (e.g., growing headcount, improving delivery metrics, or managing multiple squads)
• Demonstrated domain expertise in marketplace optimization,  pricing/fee/monetization, or routing systems at scale
• Demonstrated ability to partner closely with Product, and ML teams to deploy models at scale and build scalable production ready systems
• Exceptional communication skills with the ability to influence technical and non-technical audiences
• Strong analytical, organizational, and strategic thinking skills with a bias for action 

Preferred Requirements: 

• Hands-on familiarity with cloud platforms (AWS/GCP/Azure), containerization and orchestration (Docker/Kubernetes), and scalable API design
• Experience with streaming and event architectures (e.g., Kafka, Pub/Sub) and modern data platforms
• Track record operating in regulated or compliance-sensitive environments and building systems that support auditability
• Background in statistics, economics, or applied ML domains
• Demonstrated success building observability and reliability practices (SLO/SLI design, monitoring, alerting, post-incident process) and scaling engineering processes across multiple teams

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 - 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.

#LI-REMOTE

#LI-MidSenior

The Team: 

Upstart’s Capital Insights team sits within the Capital Platform pillar and is responsible for partner-facing reporting that enables lenders and institutional investors to understand and manage their portfolios. The team builds and maintains APIs, data pipelines, data models, and reporting systems that power loan funding, loan sales, and financial reporting across products.

As a Senior Software Engineer, you will serve as a key individual contributor responsible for backend services, data pipelines, and reporting infrastructure that ensure capital partners receive accurate, timely, and reliable data. Your work directly supports how capital  flows through Upstart’s marketplace and helps scale the platform to support future growth.

How you’ll make an impact:

• Design and evolve backend services, data models, and reporting APIs that power partner-facing reporting across multiple lending products
• Build and maintain data pipelines and reporting systems that deliver accurate, timely loan and portfolio data under strict SLAs
• Improve system reliability and operational health by reducing incidents, automating manual processes, and strengthening observability
• Lead design and implementation of cross-product platform  capabilities, including unified APIs and portals
• Partner with Capital Markets, Finance, and Data teams to define requirements, troubleshoot production issues, and deliver scalable solutions
• Identify structural inefficiencies in legacy systems and drive platform-level improvements that reduce operational burden
• Mentor engineers on best practices for data modeling, distributed systems design, and production operations in a regulated fintech environment

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience) plus 4+ years of experience building and operating backend systems
• Experience with at least one modern backend stack (e.g., Ruby on Rails, Java, or similar) and relational databases (SQL)
• Hands-on experience with data pipelines or analytical data stores, such as Airflow, Spark, dbt, ClickHouse / Snowflake / BigQuery / Redshift, or equivalent technologies
• Experience owning systems end-to-end, including design, deployment, monitoring, and on-call support

Preferred Qualifications

• Experience in fintech, lending, capital markets, or financial reporting environments with high data accuracy requirements
• Knowledge of modern data platforms and analytics tools (e.g., Databricks, ClickHouse, Looker, dbt)
• Experience designing and maintaining external APIs (REST) or file-based data integrations for enterprise partners
• Ability to improve system reliability through observability, automation, and incident reduction practices
• Ability to collaborate across technical and non-technical teams to define requirements and deliver solutions

Position location This role is available in the following locations: Remote

Time zone requirements The team operates on the East/West coast time zones.

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.

#LI-REMOTE

#LI-MidSenior 

The Team

Upstart’s Core Pricing team drives key initiatives that directly influence Upstart’s revenue streams and product strategies. This includes developing the common systems used to calculate risk and profitability for each loan we originate, as well as providing a top-notch borrower experience by supporting our product development teams.

You will be joining a dynamic, cross-functional team that works closely with data scientists, product managers, and business stakeholders to deliver scalable, high-impact solutions.

As a Senior Software Engineer on Core Pricing, you’ll play a critical role in evolving the systems that power Upstart’s loan pricing across multiple product lines. You’ll design and implement highly scalable, low-latency services that convert ML underwriting outputs into accurate risk and profitability measures, while helping define the future of Upstart’s pricing platform.

How You’ll Make an Impact

• Lead the design and development of scalable, high-performance services that enable real-time pricing decisions across multiple products.

• Collaborate with data scientists and product managers to translate business goals into robust technical solutions.

• Drive architectural improvements in the pricing platform to support rapid growth, new products, and evolving modeling needs.

• Mentor and coach engineers across the team, elevating best practices in system design, testing, and operational excellence.

• Ensure the quality and reliability of our pricing engines through comprehensive testing, code reviews, and production monitoring.

• Champion improvements in developer experience, automation, and observability to increase team velocity and platform resilience.

What We're Looking For

Minimum Qualifications

• 5+ years of professional software development experience building scalable public or consumer-facing products.

• High level of proficiency coding in production with Python, and some experience with Java or Kotlin or similiar. 

• Proven ability to independently own and deliver complex, multi-month engineering projects in fast-paced environments.

• Experience designing and building scalable APIs and microservices in a cloud-based environment (AWS or GCP).

• Strong problem-solving skills with an emphasis on scalability, performance, and system reliability.

• Excellent communication skills, able to explain complex technical topics to both technical and non-technical audiences.

• Demonstrated experience mentoring and coaching engineers, influencing technical direction, and raising the bar for the team.

• Exhibits a bias for action and comfort navigating ambiguity while driving towards impactful outcomes.

Preferred Qualifications

• Background in finance / fintech, financial mathematics, statistics, or machine learning preferred but not required

• History of thriving in diverse work environments: both collaborative and self-directed; remote and in-person.

• Deep experience with distributed systems, cloud-native development, and advanced CI/CD pipelines (infrastructure-as-code focus).

• Recognized as a subject matter expert or technical owner for a critical domain, with a passion for sharing knowledge and best practices.

• Active contributor to the tech community through open source, technical talks, or mentorship.

Position Location - This role is available in the following locations: Remote US

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.

#LI-REMOTE

#LI-MidSenior

The Team

Cash Line is Upstart’s new always on revolving credit product designed to expand access to responsible, fairly priced credit. Instead of a traditional rewards driven credit card model, Cash Line rethinks how credit is structured and priced, using AI driven underwriting to better separate risk and reduce the need for cross subsidized rewards.

We are a small, senior engineering team operating like a startup inside Upstart. The team owns the product end to end, from consumer facing experiences in the mobile app to the backend systems that power underwriting, pricing, servicing, and capital markets integrations.

This is a high ownership environment. The codebase is new. The architecture is still being shaped. You will work closely with product, growth, finance, compliance, and capital markets partners to build a category defining credit experience.

We are building with generative AI as a core capability from day one, both in the customer experience and in how we build and operate the product internally.

How you’ll make an impact:

• Design and deliver production grade backend systems that power a new consumer revolving credit product.

• Own services that support underwriting, pricing, line management, transactions, ledgering, and servicing with strong guarantees around correctness, reliability, and observability.

• Break down ambiguous product and economic requirements into clear technical designs and milestones, driving projects independently from design through launch and iteration.

• Partner with machine learning engineers to productionize models and integrate AI driven decisioning into real time user flows with strict latency and reliability constraints.

• Collaborate closely with mobile engineers to ensure backend systems support seamless, high quality consumer experiences.

• Contribute to architectural decisions in a greenfield environment while integrating thoughtfully with Upstart’s broader lending platform.

• Apply generative AI in practical ways, shaping customer facing AI features as well as internal tooling, automation, testing, and developer productivity workflows.

• Raise the bar for engineering rigor through strong API contracts, data modeling, testing strategy, monitoring, and operational excellence.

What we’re looking for: 

Minimum requirements:

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience

• Strong experience designing distributed systems and event driven architectures, including handling real world concerns such as idempotency, retries, race conditions, data consistency, and failure recovery.

• Proficiency in an object oriented programming language such as Python, Java, Kotlin, C#, or Ruby, and experience designing APIs and working with relational databases and caching layers.

• Experience shipping consumer facing features end to end, with a clear understanding of performance, reliability, and user impact.

• Fluency with generative AI systems in production, including hands on experience building, integrating, or operating Gen AI powered features or workflows. Comfortable working with LLM APIs, prompt design, evaluation, guardrails, and monitoring in real world systems.

• Demonstrated ability to operate autonomously, lead medium to large scoped projects, and make sound technical tradeoffs in ambiguous environments.

• Strong communication skills and comfort collaborating closely with cross functional partners across product, finance, compliance, and operations.

Preferred qualifications:

• Experience in fintech, credit, payments, or other regulated financial systems.

• Familiarity with revolving credit products, transaction processing systems, or ledger based architectures.

• Experience building systems that bridge consumer applications and capital markets or funding infrastructure.

• Experience building systems that bridge consumer applications and capital markets or funding infrastructure.

• Entrepreneurial mindset—comfortable in dynamic environments, with a bias toward action and ownership.

• Strong product instincts and interest in understanding the economics behind pricing, risk, and unit economics.

• Hands on experience applying generative AI to customer facing features, internal tools, or engineering workflows.

• Entrepreneurial mindset with a bias toward ownership, speed, and practical impact.

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.

#LI-REMOTE

#LI-MidSenior 

The Team: 

Our Servicing Engineering teams are building intelligent systems that personalize borrower experiences using machine learning. Today, most borrowers are treated the same, regardless of their financial situation. We’re changing that.

As a Senior Software Engineer in this role, you’ll redefine how servicing decisions are made. You’ll turn machine learning models and signals into systems that shape real borrower interactions, including who we reach, how we engage, and which strategies we apply.

You’ll evolve and scale our decisioning and experimentation systems to support faster iteration and more reliable measurement of strategy performance against borrower and business outcomes. Reporting to a Senior Engineering Manager, you’ll partner closely with Product and Machine Learning teams to run experiments, productionize model outputs, and build feedback loops that connect real-world outcomes back to model and strategy improvements.

How you’ll make an impact

• Improve how Servicing decisions are made by embedding machine learning models into product and operational workflows.
• Enable faster learning and safer iteration by advancing our experimentation platform and improving how we evaluate strategy performance.
• Increase the effectiveness of personalization strategies by designing and running controlled experiments that translate into measurable improvements.
• Scale model-driven decisioning through resilient feature pipelines and real-time data integrations.
• Define clear metrics and guardrails to ensure ML-powered systems remain measurable, explainable, and compliant as they shape more Servicing decisions.

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience
• Experience owning delivery of ML-powered features from design through production deployment and measurement.
• Hands on experience designing or contributing to experimentation systems, including running controlled experiments in live environments.
• Experience building and maintaining data processing systems or pipelines that support model-driven decisioning.

Preferred Qualifications

• Experience with building or scaling ML-powered ranking, personalization, or recommendation systems in production environments.
• Applied advanced experimentation methods beyond standard A/B testing.
• Demonstrated incorporation of fairness, explainability, or governance considerations into ML-powered decision systems.
• Led technical design decisions for distributed systems supporting ML-driven workflows.

Position location This role is available in the following locations: Remote 

In-Office requirements.  You will be required to work from the San Mateo, CA or Columbus, Ohio headquarters one week per quarter.  

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.

#LI-REMOTE

#LI-MidSenior 

The Team: 

Upstart’s Borrower Experience (BX) team is responsible for building and evolving the borrower-facing servicing experience across web, mobile, and AI-powered channels. The team focuses on reducing borrower friction, improving payment success, and enabling clear, self-serve paths for borrowers post-origination.

As a Senior Software Engineer, Borrower Experience at Upstart, you will work across full-stack systems and AI-powered surfaces to deliver intuitive borrower experiences. You will lead the design and development of scalable, high-impact solutions that enable borrowers to understand their options and take the right actions while shaping a cohesive and trusted servicing experience.

How you’ll make an impact

• Design and deliver borrower-facing features across web, mobile, and AI-powered experiences to improve self-service outcomes and payment success
• Translate servicing workflows into intuitive, scalable product experiences that reduce friction and inbound contact volume
• Build and maintain full-stack systems integrating backend services with modern frontend frameworks
• Drive experimentation through A/B testing, analytics, and observability tools to improve borrower outcomes
• Partner with Product, Design, Analytics, and Engineering to deliver high-quality solutions
• Contribute to architectural decisions and lead initiatives that unify systems into a cohesive borrower experience

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience
• 4+ years of professional software engineering experience building scalable web and/or mobile applications
• Proficiency in one or more programming languages and modern development frameworks
• Experience designing and building APIs, microservices, and distributed systems in a cloud environment
• Experience leading projects spanning multiple engineers or systems

Preferred Qualifications

• Experience building or integrating LLM-powered or agentic systems
• Familiarity with experimentation platforms and analytics tooling
• Experience developing customer-facing financial or fintech products
• Knowledge of modern frontend frameworks and deployment platforms
• Experience working across multiple teams to deliver cohesive user experiences
• Ability to design systems with reliability, safety, and explainability considerations

Position location This role is available in the following locations: Remote 

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.

#LI-REMOTE

#LI-MidSenior 

The Team: 

Upstart’s Borrower Experience (BX) team is responsible for building and evolving the borrower-facing servicing experience across web, mobile, and AI-powered channels. The team focuses on reducing borrower friction, improving payment success, and enabling clear, self-serve paths for borrowers post-origination.

As a Software Engineer at Upstart, you will work across full-stack systems and AI-powered surfaces to deliver intuitive borrower experiences. You will design and build scalable solutions that help borrowers understand their options and take the right actions while contributing to a cohesive and trusted servicing experience.

How you’ll make an impact

• Design and deliver borrower-facing features across web, mobile, and AI-powered experiences to improve self-service outcomes and payment success
• Translate servicing workflows into intuitive, scalable product experiences that reduce friction and inbound contact volume
• Build and maintain full-stack systems integrating backend services with modern frontend frameworks
• Drive experimentation through A/B testing, analytics, and observability tools to improve borrower outcomes
• Partner with Product, Design, Analytics, and Engineering to deliver high-quality solutions
• Contribute to architectural decisions that unify systems into a cohesive borrower experience

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 3 years of experience
• 3+ years of professional software engineering experience building scalable web and/or mobile applications
• Proficiency in one or more programming languages and modern development frameworks
• Experience designing and building APIs, microservices, and distributed systems in a cloud environment
• Experience delivering projects spanning multiple systems or engineers

Preferred Qualifications

• Experience building or integrating LLM-powered or agentic systems
• Familiarity with experimentation platforms and analytics tooling
• Experience developing customer-facing financial or fintech products
• Knowledge of modern frontend frameworks and deployment platforms
• Experience working across multiple teams to deliver cohesive user experiences
• Ability to design systems with reliability, safety, and explainability considerations

Position location This role is available in the following locations: Remote 

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.

#LI-REMOTE

#LI-MidSenior 

The Team: 

The Delivery team enables engineers at Upstart to build, test, and ship software safely through a reliable, secure, and auditable delivery system. The team owns the build and release pipeline, service creation experience, and the engineering portal, and leads cross-functional efforts to eliminate friction across the software delivery lifecycle.

Our goal is to make shipping software fast and predictable. We are working toward a model where engineers can go from idea to production in a single day through self-service workflows that minimize manual coordination and operational overhead.

This includes evolving CI/CD infrastructure, standardizing service creation, embedding observability and reliability by default, and providing a unified platform for service lifecycle management. The team operates at the center of engineering productivity and partners closely with platform, SRE, and product engineering teams to deliver scalable, high-leverage solutions.

As a Senior Engineering Manager of the Delivery team you will lead a team responsible for improving the reliability, speed, and usability of Upstart’s software delivery platform. Your focus is execution. You will drive high-impact improvements to developer workflows, reduce friction in the path to production, and ensure systems are scalable, observable, and easy to operate.

You will partner closely with platform, SRE, and product engineering teams to advance a self-service delivery model where engineers can build, deploy, and operate services with minimal manual coordination.

This role is suited for a hands-on leader who brings strong technical judgment, drives consistent execution, and builds high-performing teams. You will balance near-term delivery with incremental platform improvements that make software delivery more predictable and reliable across the organization.

How you’ll make an impact

You will lead a team delivering critical improvements to engineering velocity and system reliability.

• Team Leadership and Execution
  • Manage and develop a team focused on CI/CD, service lifecycle tooling, and developer experience
  • Drive execution against clear priorities with consistent, high-quality delivery
  • Establish strong engineering practices across reliability, testing, and observability
  • Build a culture of ownership, continuous improvement, and pragmatic decision-making
• Delivery Platform Evolution
  • Improve build and deployment workflows to increase speed and reduce friction
  • Drive adoption of standardized deployment patterns across services
  • Simplify and modernize delivery infrastructure while maintaining stability
  • Ensure systems are scalable, secure, and resilient
• Developer Experience and Self-Service
  • Enable self-service workflows for service creation, deployment, and platform integrations
  • Reduce manual coordination, support tickets, and reliance on tribal knowledge
  • Partner with stakeholders to identify pain points and prioritize high-leverage improvements
  • Contribute to the engineering portal as the central interface for service lifecycle operations
• Reliability and Operational Excellence
  • Embed observability and operational standards into delivery workflows
  • Ensure systems support safe, auditable, and predictable releases
  • Reduce toil and improve system health through targeted improvements

Minimum Qualifications 

• 5+ years of engineering management experience
• 7+ years of experience in software engineering, DevOps, or platform engineering
• Strong technical background in CI/CD systems, cloud infrastructure such as AWS, and distributed systems
• Ability to define clear team charters and execute with speed and alignment
• Track record of hiring, mentoring, and retaining high-performing engineers
• Execution-focused leadership with a track record of predictable delivery
• Technical depth to guide architectural decisions and trade-offs
• Systems thinking across reliability, scalability, and developer experience
• Strong cross-functional collaboration

Preferred Qualifications

• Experience with managing large-scale CI/CD systems such as Jenkins or GitHub Actions
• Experience building or improving self-service developer platforms
• Familiarity with microservices architectures and service lifecycle management
• Experience supporting platform or architectural transitions
• Strong product mindset when building internal tools

Position location This role is available in the following locations: Remote - US, Remote - Canada

Time zone requirements The team operates on the East/West coast time zones. 

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.

#LI-REMOTE

#LI-MidSenior 

The Team: 

Upstart’s Site Reliability Engineering (SRE) team owns the reliability, resiliency, and observability of Upstart’s production systems. We build automation, tooling, and frameworks to ensure our infrastructure is healthy, scalable, and able to support a seamless experience for both engineers and customers. Our scope includes defining Upstart’s technology operations risk strategy, implementing disaster recovery planning, and setting company-wide reliability standards.

As a Principal Engineer on the SRE team at Upstart, you will serve as a thought leader and SRE evangelist - driving adoption of best practices, mentoring engineers across the organization, and influencing both technical and business decisions. Your impact will extend beyond SRE into cross-functional collaboration with Product Engineering, DevEx, Development Productivity (Quality), DevOps, Data Engineering, and Machine Learning teams to elevate operational excellence across the company.

How you’ll make an impact

• Lead the definition, advocacy, and adoption of SRE principles across engineering teams
• Partner with leadership to shape long-term reliability, resiliency, and observability strategies
• Champion distributed tracing, real user monitoring (RUM), and key performance metrics such as Largest Contentful Paint (LCP) to improve system visibility and user experience
• Build and scale self-healing systems to minimize manual intervention and reduce downtime
• Drive enterprise-wide improvements to incident response processes, including those related to Machine Learning systems
• Collaborate closely with Development Productivity and Quality teams to improve engineering velocity without sacrificing reliability
• Influence technical and operational roadmaps through data-driven insights and hands-on technical contributions
• Own and deliver cross-functional initiatives from concept through execution, applying program management skills to align stakeholders and achieve results

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience
• Combined experience with both Software Engineering and Site Reliability Engineering, with a balanced background in both disciplines
• Proven track record as an SRE thought leader and evangelist, driving adoption of reliability best practices across organizations
• Strong communication and mentoring skills to influence engineers across disciplines
• Proficiency in Python, Go, JavaScript/TypeScript
• Proficiency with Infrastructure as Code (Terraform, CDK, CloudFormation, etc.)
• Experience building internal tooling from scratch in agile development environments
• Expertise with observability, distributed tracing, RUM, LCP, and performance monitoring tools (e.g., Datadog, Prometheus)
• Experience with on-call and incident management, including large-scale or ML-related incidents
• Strong background in automation and building self-healing systems
• Hands-on experience with LLM/GenAI to improve SRE efficiency and processes
• Program management skills, including the ability to propose innovative solutions, influence leadership, improve processes, and drive cross-functional projects to completion

Preferred Qualifications

• Experience with service mesh
• Full stack development skills
• Experience building or extending observability platforms
• Background in Development Productivity or Quality Platforms
• Experience in high-scale SaaS, microservice-oriented cloud environments

Position location This role is available in the following locations: Remote-US, Remote-Canada

Time zone requirements The team operates on the East/West coast time zones. 

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.

#LI-REMOTE

#LI-MidSenior 

The Team: 

Upstart’s Offer Delivery (PLG) Team is focused on driving growth by deepening relationships with our existing users. Our vision is to create an always-available credit experience that continuously guarantees access to Upstart’s credit products for all users. Make credit access instant, predictable, and effortless through intelligent offer generation and merchandising that will engage our users with relevant, timely offers that enhance their financial journey.

As a Senior Engineering Manager at Upstart, you will play a crucial role in shaping how we drive user growth and engagement through intelligent targeting, strategic product recommendations, and best-in-class offer generation infrastructure that scales. You’ll be responsible for generating personalized offer experiences, enhancing out-of-funnel cross-sell strategies, advancing our offer orchestration infra, optimizing cost, and closely working with our ML team to produce better outcomes for our users  . Your work will directly contribute to growing our existing and newer products, increasing customer lifetime value and helping more users access the right financial products at the right time.

How you’ll make an impact

• Define and implement an engineering roadmap that supports intelligent and personalized offer and product recommendations to our user base
• Work with cross functional partners including Product Managers, Product Marketing Managers, and Research Scientists to make this a highly impactful program
• Lead, coach, and develop a high-performing engineering team directly, focused on providing high quality solutions and incrementally enhance systems with each pull request.
• Leverage experimentation and data-driven insights to refine growth strategies, optimizing user engagement and conversion through continuous testing, iteration, and personalization.
• Create a best-in-class offer generation infrastructure that scales with our user base and all Upstart products. 

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience, including at least 3 years of direct people management experience.
• Experience leading product oriented teams with quantifiable user impact 
• Ability to convey complex technical information to a variety of audiences

Preferred Qualifications

• Experience with growth engineering product stacks (Optimizations, Experimentation, Personalization, Recommendation Systems, etc)
• Experience working on a product with marketplace dynamics
• Proven track record of leading and growing engineering teams
• Success in driving initiatives spanning multiple teams across organizations
• Skilled in scaling systems in both a technical and organizational capacity

Position location This role is available in the following locations: Remote 

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.

What you'll love: 

• Competitive Compensation (base + bonus & equity)
• Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 
• Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year
• 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 

The Team: 

Upstart's Distribution Platform team is developing innovative solutions and strategies that drive efficient and scalable marketing outreach, empowering us to effectively engage with our users while having a direct impact on Upstart's mission and growth. The team is responsible for some of our highest value distribution channels including digital ads, direct mail, and partner integrations. Our goal is to build an intelligent, unified system that learns, automates, and scales how Upstart engages with our customers on these channels.  

As a Senior Engineering Manager at Upstart, you will play a crucial role in shaping how we drive user growth and outreach through intelligent targeting, 3P integrations, and data-heavy scalable infrastructure. You’ll be responsible for the tech behind some of our largest marketing channels and have a direct impact on the company’s performance. You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning, and Product to create a scalable marketing platform that mobilizes Upstart’s owned channels to drive users to our products efficiently. 

How you’ll make an impact

• Define and implement an engineering roadmap that supports intelligent and scalable outreach to customers via our direct mail, digital, and partnerships platform
• Work with cross functional partners including Product Managers, Performance Marketing Managers, Analytics, and Research Scientists to make this a highly impactful program
• Lead, coach, and develop a high-performing engineering team directly, focused on providing high quality solutions and incrementally enhance systems with each pull request
• Leverage experimentation and data-driven insights to refine growth strategies, optimizing user outreach and conversion through continuous testing, iteration, and personalization
• Create a best-in-class direct mail and digital infrastructure that scales

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience, including at least 3 years of direct people management experience.
• Experience leading product oriented teams with quantifiable user impact 
• Ability to convey complex technical information to a variety of audiences

Preferred Qualifications

• Experience working on systems that integrate with 3rd parties and/or ingest, store, expose large amounts of data
• Professional experience working on either Marketing technology or Growth engineering
• Proven track record of leading and growing engineering teams
• Success in driving initiatives spanning multiple teams across organizations
• Skilled in scaling systems in both a technical and organizational capacity

Position location This role is available in the following locations: Remote 

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.

#LI-REMOTE

#LI-MidSenior 

The Team: 

Upstart’s Cloud Platform team sits within the Reliability organization and is responsible for building and operating the shared cloud infrastructure that powers all product and machine learning workloads. The team owns core platform components across Kubernetes (EKS), AWS infrastructure, service mesh, identity, and developer tooling, enabling reliability, scalability, and security across the business.

As a Senior DevOps Engineer at Upstart, you will help evolve this platform to support increasing scale and complexity. You’ll partner closely with SRE, Delivery, InfoSec, and product/ML teams to improve reliability, developer experience, and cost efficiency across a platform used by nearly every engineering team.

How you’ll make an impact

• Design and operate a fleet of Kubernetes (EKS) clusters across production, staging, and ephemeral environments, ensuring reliability and high availability
• Evolve AWS infrastructure and network architecture (VPCs, subnets, IAM, account structure) to support scalable, multi-team workloads
• Build and maintain infrastructure-as-code and GitOps workflows using tools such as Terraform, CDK, and ArgoCD
• Improve platform reliability and performance by defining and driving SLOs, analyzing incidents, and implementing systemic fixes
• Participate in and help improve the on-call rotation, leading incident response and post-incident reviews to drive systemic platform improvements
• Partner with SRE, Delivery, InfoSec, and product/ML teams to land high-impact infrastructure changes and platform standards
• Drive improvements in developer experience by simplifying platform usage, reducing toil, and enabling faster product and ML development
• Contribute to cost efficiency initiatives by optimizing resource utilization across Kubernetes and cloud infrastructure

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience) plus 4+ years of experience
• Experience operating Kubernetes in production environments, including cluster networking, storage, and RBAC
• Proficiency with AWS infrastructure, including VPC design, networking, and IAM
• Proven expertise in  implementing infrastructure-as-code using tools such as Terraform or AWS CDK
• Experience implementing GitOps workflows using tools such as ArgoCD or similar
• Ability to influence technical decisions across teams and drive adoption of platform standards

Preferred Qualifications

• Knowledge of service mesh technologies such as Istio or Envoy
• Experience designing or operating multi-cluster Kubernetes architectures
• Experience with cloud networking at scale, including ingress/egress or edge platforms (e.g., Cloudflare)
• Knowledge of cloud security, identity, and compliance frameworks (e.g., IAM, SOC 2, CIS benchmarks)

Position location This role is available in the following locations: Remote 

Time zone requirements The team operates on the East/West coast time zones.

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.

#LI-REMOTE

#LI-MidSenior

The Team: 

Upstart’s ASPL team is on a mission to provide effortless access to compelling auto-secured lending products. We are focused on expanding eligibility, reducing friction throughout the borrower journey, and building the platform capabilities that allow us to bring new secured lending experiences to market. We work closely with product, design, analytics, operations, legal, and compliance partners to deliver customer experiences that are fast, clear, and trustworthy in a regulated environment.

As the Senior Engineering Manager for ASPL, you will lead a high-impact engineering team responsible for increasing eligibility, improving conversion, and building new product capabilities that help Upstart serve a larger portion of the population. You will set execution priorities, remove blockers, and develop engineers to ship reliable, observable, and maintainable systems.

How you’ll make an impact

• Lead and develop a team of engineers working across borrower-facing flows, backend services, and platform capabilities that increase eligibility and reduce friction.
• Partner with cross-functional stakeholders to define roadmaps, shape requirements, and deliver solutions that balance growth, customer experience, and risk.
• Drive execution on cross-functional initiatives that expand access to auto-secured lending and enable new product capabilities.
• Improve the speed, quality, and reliability of delivery by setting clear priorities, raising engineering standards, and building healthy execution mechanisms.
• Use data to identify funnel bottlenecks, evaluate tradeoffs, and guide investments that improve conversion, automation, and operational efficiency.
• Coach engineers and technical leaders, grow team capability over time, and build an inclusive team culture grounded in ownership and continuous improvement.

Minimum Qualifications 

• 8+ years of experience building and operating production software systems, including distributed systems or cloud-based applications.
• 3+ years of experience managing software engineers.
• Experience leading cross-functional engineering initiatives from planning through production launch.
• Experience working on customer-facing products with measurable business outcomes.
• Experience partnering with product, design, and non-engineering stakeholders to deliver solutions in a fast-moving environment.

Preferred Qualifications

• Experience delivering products in fintech or another regulated industry.
• Ability to use metrics and experimentation to identify opportunities and make product and engineering tradeoffs.
• Experience leading teams through periods of rapid product or organizational growth.
• Experience supporting both new product development and ongoing platform or systems improvements.

Position location This role is available in the following locations: Remote

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 or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-MidSenior --> use for L5, L6

The Team: 

The Machine Learning & Simulations Platform (MLSP) team builds and operates the core infrastructure that powers ML model training, inference, and marketplace simulation at Upstart. Our platform is foundational to the company’s success—every underwriting, fraud, conversion, and verification model runs here. We also provide the simulation capabilities that help teams experiment safely and assess business impact without requiring costly live experimentation.

We are on a mission to reimagine our infrastructure to support the growing complexity of our ML models, the demand for low-latency inference, and the accuracy needed to simulate the dynamics of our borrower-lender marketplace at scale. The team partners closely with Engineering, ML, Product, and Finance  to accelerate innovation while safeguarding performance and integrity.

As a Principal Software Engineer focused on Machine Learning Simulations at Upstart, you will be responsible for building an MLOps platform to support machine learning model inference, process automation, model deployment, and observability. Machine Learning is critical to Upstart’s core business, and our greatest competitive advantage lies in the fact that we’re able to innovate on our AI engine quickly. You will also help build a  marketplace simulation platform to support rapid innovation across ML and Finance teams.

How you’ll make an impact

• Build, maintain, and optimize Upstart’s next-generation machine learning and simulation platform, enabling increased scale, performance, and confidence in decisioning
• Develop high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business
• Enable the  modernization of our serving infrastructure, reducing inference latency to just a few seconds for our most complex models
• Design and contribute to  our simulation systems to more accurately reflect production environments, reducing simulation cost and enabling broader usage across teams
• Communicate closely with cross-functional partners from  ML, Engineering, Product, and Data Engineering  teams, keeping all stakeholders informed
• Mentor engineers across the team, sharing expertise on distributed systems, MLOps, and scalable architecture

Minimum Qualifications  

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience
• Experience building or contributing to platforms or systems that support machine learning model simulation
• Experience building self-serve or configuration-driven tooling for internal stakeholders
• Experience building and maintaining backend software services and APIs
• Proficiency with some or more of the following: Python, Kotlin, Databricks, and AWS
• Exhibits a growth mindset - you’re not afraid to pick up new technologies that are best for the task, and learn from others.
• Ability to quickly comprehend and reiterate complex requirements from product or engineering leadership and translate those to both technical and non-technical stakeholders
• Track record of successfully mentoring and developing other engineers around you while seeking out and appreciating constructive feedback

Preferred Qualifications

• Familiarity with model serving technologies like Ray, and experimentation frameworks
• Proficiency with Flask, FastAPI, Metaflow, MLflow, gRPC, Kafka, Spark/PySpark, ETL/ELT, Redshift (or similar)
• Excellent quantitative reasoning skills with interest in working at the intersection of engineering and machine learning
• Strong sense of ownership and accountability for the quality and timely delivery of work
• Proven ability to effectively analyze and solve complex problems
• Excellent written and verbal communication skills with stakeholders, peers and product owners
• Ability to thrive both in self-directed work environments and in collaborative settings, contributing positively to team dynamic

Position location This role is available in the following locations: Remote-US

Time zone requirements The team operates on the East/West coast time zones.

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.

#LI-REMOTE

#LI-MidSenior

The Team: 

Upstart Bank is an evolution of Upstart’s AI lending platform, focused on simplifying the regulatory infrastructure behind our marketplace while expanding access to credit nationwide. By moving from a fragmented, state-based system to a unified federal framework, Upstart Bank enables more consistent borrower experiences, reduces structural costs, and unlocks opportunities to improve pricing, compliance, and access to credit at scale.

As Director of Engineering for Upstart Bank, you will build and lead the engineering organization responsible for the core platforms that enable the bank to operate at scale. Starting from a small, high-caliber seed team, you will define the technical strategy, organizational design, and execution model for systems spanning ledgering and funding, deposits and payments, marketplace integrations, and reporting. You will partner closely with Product, Compliance, Legal, Risk, Finance, and Operations to deliver scalable, reliable, and audit-ready infrastructure for a modern banking platform.

This is a rare opportunity to help build a modern bank platform from an early foundation rather than inherit a legacy core.

How you’ll make an impact

• Build the Upstart Bank engineering organization from an initial seed team into a scaled, high-performing domain with multiple teams and managers
• Define and drive the technical strategy and architecture for core bank platforms, including ledgering and funding, deposits and payments, marketplace integrations, and reporting
• Set the organization design, hiring strategy, and leadership bench needed to scale the Upstart Bank engineering org
• Partner with Product and cross-functional leaders to translate business, regulatory, and operational priorities into engineering architecture, sequencing, and delivery
• Own delivery across critical bank platform domains, ensuring teams execute predictably and deliver reliable, scalable, high-quality infrastructure
• Establish engineering standards and operating mechanisms that support reliability, resilience, security, traceability, and auditability
• Lead cross-functional execution across complex dependencies with Compliance, Legal, Risk, Finance, and Operations
• Build systems and processes that support internal controls, audits, and high-confidence operation in a regulated environment
• Develop engineering leaders and foster a culture of high standards, ownership, and continuous improvement

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 10 years of experience, including at least 5 years of direct people management experience
• Experience building and scaling engineering organizations, including hiring and developing teams through periods of rapid growth or organizational formation
• Strong technical background with a track record of setting architecture and technical direction for complex distributed systems and cloud platforms
• Experience leading engineering in regulated or high-control environments where reliability, controls, auditability, and change management are critical
• Experience partnering with senior cross-functional and executive stakeholders on business-critical platforms

Preferred Qualifications

• Experience building core financial infrastructure such as ledgering, payments, deposits, funding systems, reporting, or financial integrations
• Experience in banking, fintech, payments, or other regulated financial systems
• Experience building platforms that support internal controls, audits, and reliable operation in regulated environments
• Experience leading platform modernization, core-system launches, or major infrastructure transformations
• Demonstrated ability to attract and develop strong technical talent in competitive hiring markets
• Interest in improving access to credit through technology and scalable financial infrastructure

Position location This role is available in the following locations: Remote, San Mateo, CA, and Columbus, OH

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.

#LI-REMOTE

#LI-Director

The Team

Upstart’s Event Bus, Experimentation, and gRPC  team is responsible for building frameworks and tooling to support Event Driven Architectures, safe and measurable roll out of new features, and efficient service to service communication.  We do this by owning the build process and libraries for the four primarily supported languages at Upstart (Ruby, Kotlin, Python, and TypeScript).  These platform products  allow Upstart engineers to use them in a simple and secure way.   Ease of use, performance, data quality, observability, and security are our guiding principles.

As a Senior Software Engineer on Upstart’s Event Bus, Experimentation, and gRPC  team, you are empowered  to design and implement high impact, cross cutting solutions  that touch nearly every service within Upstart.  We are a small and high impacting team contributing to Upstart’s North Star Architecture and need a product-oriented engineer who is excited to contribute across Event Bus, Experimentation, and gRPC internal tooling.

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

Time Zone Requirements - This team operates on the East/West Coast time zones.

Travel Requirements - As a digital first company, the majority of your work can be accomplished remotely. This team also has regular onsite collaboration sessions. These occur roughly once per quarter (~3 days at a time) in one of our main offices (Columbus, OH, Austin, TX or San Mateo, CA). If you need to travel to make these meetups, Upstart will cover all travel related expenses.

How you’ll make an impact:

• Lead the design and development of new features and improvements to existing features.
• Collaborate with cross-functional teams to understand requirements and bring those insights into building an impactful roadmap for the team
• Establish best practices for achieving an Event Driven Architecture, safe feature rollout, and service to service, API design.
• Mentor junior engineers and promote a culture of technical excellence
• Contribute to quality improvements within our team and the engineering organization in a meaningful way

What we’re looking for: 

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience
• Strong communication skills and ability to collaborate effectively with cross-functional teams.
• Strong proficiency in one or more of Kotlin, Java, Python, Ruby, or Typescript programming languages
• Proficiency in automated testing patterns
• Experience in building highly observable systems

Preferred Qualifications

• Experience with Kotlin, Python, Ruby, or Typescript
• Experience with Kafka
• Experience with gRPC
• Experience with A/B testing and/or Feature Flagging
• Strong sense of ownership and accountability for the quality and timely delivery of work
• Ability to thrive both in self-directed work environments and in collaborative settings, contributing positively to team dynamic. 

#LI-REMOTE

#LI-MidSenior

The Team: 

The Identity Platform team is responsible for the creating, securing and managing the borrower and partner identity that is the center piece of all Upstart loan products like Personal Loans, Auto Loans and Home Loans.The Identity platform team is responsible for all Authentication and Authorization Platform and the experiences ( Frontend ) associated with it. We ensure borrowers and partners are able to authenticate securely and seamlessly and their data is protected from unauthorized access.

As a Principal Software Engineer, you are at the helm of driving technical excellence, execution and innovation within the Identity Platform team. You are responsible for setting the technical vision and direction for Identity Platform that works backwards from our product strategy. You will work closely with Product partners from different verticals to help them plan, create and deliver secure product experiences that are frictionless.  You will have the opportunity to design and build large scale systems from the ground up, partner closely with Infosec and CSO, and work in a highly-collaborative and fast-paced environment. We are looking for a seasoned leader with a passion for Identity and Access Management, Customer Experience, experimentation, and distributed systems. If this sounds exciting, we would love to hear from you. 

How you’ll make an impact

• Define the long-term technical direction and roadmap for Identity and Access Management Platform in alignment with Upstart’s business objectives. 
• Lead the design, development and execution of a system that emphasizes security and ease of access.
• Work closely with the Informational Security team to improve and develop standards that ensure that our customer data is secure and build trust with Customers.
• Guide the architectural evolution of Identity engineering systems with an emphasis on security, scaling innovation across multiple engineering teams. 
• Uncover and drive alignment across complex technical requirements, designs, trade-offs, influencing product direction 
• Proactively evaluate, prototype, and roll out new technologies/frameworks to help cultivate a culture of innovation
• Lead from the front, while mentoring and developing technical leaders

Minimum Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of experience
• Experience building highly scalable APIs using containerization technologies like Docker and Kubernetes
• Solid grasp of software development principles and best practices for creating scalable and maintainable systems
• Proficiency in one or more object oriented programming languages like Kotlin, Ruby,, C#, C++
• Strong communication skills and ability to explain complex business and technical concepts to all audiences
• Track record of successfully mentoring and developing technical leaders
• Experience working in dynamic fast paced organizations
• Ability to balance the needs of the business with the needs of engineering improvements
• Passion for clean code and architecture and initiative to “level-up” the engineering team with better practices & design
• You are able lead and resolve company-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product)
• You have a good sense for build-vs-buy and are able to prioritize the highest ROI architectural investments

Preferred Qualifications

• High proficiency with OAuth 2.0 and OpenID Connect Specifications.
• Experience working in Identity and Security Platform.
• Experience with building Kotlin or Java Backend services.
• Experience with A/B testing, GRPC and Devops.
• Background in Keycloak or any equivalent IAM Solution,, Devops, Ruby and NextJS is a big plus. 
• Experience designing and building microservice-based architectures
• Experience developing large scale distributed systems in AWS
• Strong sense of ownership and accountability for the quality and timely delivery of work
• Ability to thrive both in self-directed work environments and in collaborative settings, contributing positively to team dynamics
• Demonstrated ability to take feedback well and actively incorporate it into work with a desire to continuously improve
• Ability to influence and lead without direct authority
• Strong product and analytical mindset that allows you to think in terms of ROI, risk, and trade offs
• Experience working at companies that have gone through periods of rapid business or organizational growth

Position location This role is available in the following locations: Remote 

Time zone requirements The team operates on the East/West coast time zones. 

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.

#LI-REMOTE

#LI-MidSenior 

The Team: 

Upstart’s Technical Program Manager team is responsible for driving execution of the company’s most critical engineering initiatives. The TPMs operate at the intersection of product and engineering, delivering complex business outcomes that span multiple teams and systems. Current focus areas include 1/ improving engineering velocity through platformization and reducing system complexity, 2/ strengthening org-wide operational excellence, and 3/ increasing Upstart’s ML advantage by streamlining data evaluation and productization. 

As a Principal TPM at Upstart, you will operate as a force-multiplier in ambiguous problem spaces by bringing structure, clarity, and momentum to initiatives that would otherwise stall. Successful TPMs demonstrate a relentless sense of ownership over outcomes and can flex both strong technical and product judgement. In addition to delivering programs, you will shape how the organization executes at scale by influencing how we plan, prioritize, and deliver work. 

How you’ll make an impact

• Own system-level outcomes, ensuring initiatives deliver measurable business value instead of just ticking off feature completion checkboxes
• Bring clarity to ambiguity by aligning goals, defining milestones, translating high-level designs into actionable implementation details, and ensuring cross-team dependencies are clearly understood
• Proactively identify and mitigate critical risks early to de-risk delivery before failure happens
• Drive critical decisions by surfacing tradeoffs, clarifying priorities, and aligning stakeholders on a path forward
• Create and maintain a single, trusted view of program health to provide stakeholders at all levels with insights into progress, risks, and changes
• Partner with engineering and product leaders to balance feature delivery with long-term system scalability, reliability, and maintainability

Minimum Qualifications 

• BA/BS in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience
• 8+ years of technical program management, product management or related experience in a software engineering environment
• Experience leading large-scale, cross-functional programs spanning multiple engineering teams and systems
• Experience leading complex technical initiatives from concept through launch, including defining scope, success metrics, and execution strategy
• Experience working on distributed systems, service-oriented architectures, and system design at scale

Preferred Qualifications

• Strong judgment and prioritization skills; able to navigate trade-offs with confidence and clarity across both technical and business domains.
• Excellent written and verbal communication skills; able to explain complex technical topics to diverse audiences
• Track record of driving adoption of new processes, tools, or engineering standards across entire organizations
• Proven ability to influence senior and executive stakeholders on ambiguous, high-impact initiatives
• Experience increasing engineering velocity by driving improvements in tooling, automation, or AI-based solutions

Position location This role is available in the following locations: Remote

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 or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-REMOTE

The Team

Upstart’s Site Reliability Engineering (SRE) team owns the reliability, resiliency, and observability of Upstart’s production systems.  The SRE team builds tooling and automation to monitor the health of our infrastructure and create a fast, reliable, and productive environment for other engineers and a world-class experience for our customers. SRE defines Upstart’s strategy for technology operations risk mitigation, which includes disaster planning and on-call procedures. We use data-driven approaches to drive our decisions, and provide reports and insights to the business to improve visibility into the system and customer experience.

As a Senior Software Engineer focused on Site Reliability Tooling, your work will directly impact the success of the SRE team and all of Upstart. Your expertise will inform the team’s direction, and your work with other SREs and Upstart engineers will make Upstart’s systems as effective as possible for our customers.  SRE at Upstart is ever-changing, and you will be a primary contributor in shaping our future path.

How you’ll make an impact:

• Embody and share SRE principles at Upstart
• Exercise state-of-the-art SRE practices throughout the company
• Uphold a culture of visibility, ownership, and responsibility around service reliability
• Implement standards for monitoring microservices, web apps, mobile apps, databases, Kubernetes clusters, and machine learning platforms, in a fast-paced environment
• Improve incident response practices, both within SRE and throughout the company
• Automate away toil that make sense to be automated

What we’re looking for: 

• Minimum requirements:
• Minimum of 6 years combined experience between Software Engineering, Site Reliability, and/or DevOps Engineering including CI/CD, TDD, internal tooling, observability, and other agile development practices
• Proficiency coding Python, Go, JavaScript/TypeScript 
• Proficiency with Infrastructure as Code (Terraform, CDK, Cloudformation, etc.)
• Software engineering background with experience building internal tooling from scratch, and other agile development techniques
• Strong software design & architecture skills
• Fundamentally sound with data structures & algorithms 
• Experience with on-call and incident management environments
• Experience with observability, monitoring, and reporting tools (e.g., Datadog, Sumologic, , etc.)
• Experience supporting SaaS software in a microservice-oriented cloud environment
• Ability to work with multiple teams for enterprise-wide deliverables
• Data/metrics-driven mindset

• Preferred qualifications:
• Experience with service mesh
• Full Stack development skills 
• Experience building tooling for an observability platform
• Experience leveraging LLM/GenAI to improve SRE efficiency and processes  

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

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.