Summary
Upstart is an AI lending marketplace focused on reducing the cost and complexity of borrowing through technology. The Software Engineer II, Developer Platform will build and operate continuous integration infrastructure, Kubernetes-based ephemeral environments, shared test infrastructure, and developer tooling used by engineers across the company.
Responsibilities
- Build and improve services, infrastructure, and developer tooling that power continuous integration, ephemeral environments, and automated testing across Upstart
- Develop scalable Kubernetes- and AWS-based capabilities that enable engineers to create and use production-like environments through reliable, self-service workflows
- Build shared infrastructure for test execution, orchestration, environment setup, and results to provide engineers with fast, trustworthy feedback during development and continuous integration
- Improve platform reliability, performance, observability, and cost efficiency by diagnosing recurring issues and implementing durable software and infrastructure improvements
- Replace manual or fragmented developer workflows with reusable APIs, automation, and platform capabilities that simplify common development tasks
- Use AI throughout software development and problem solving, and identify opportunities for AI-enabled workflows and capabilities that improve developer productivity across Upstart
Skills
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or its equivalent), plus 3 years of professional software engineering experience
- Experience developing production software using one or more general-purpose programming languages
- Experience designing, building, testing, and operating production software or infrastructure
- Experience working with cloud infrastructure, distributed systems, continuous integration systems, developer tooling, or backend services
- Experience independently delivering well-scoped software engineering projects from technical design through production operation
- Demonstrated experience using AI assisted development tools across multiple stages of the software engineering lifecycle, with an interest in continuously evolving how you use these tools as their capabilities advance
- Experience with Kubernetes control-plane engineering, AWS, containers, or infrastructure as code
- Knowledge of developer tooling, continuous integration systems, internal developer platforms, or shared test infrastructure
- Experience building or operating ephemeral or production-like development and testing environments
- Experience building APIs, services, command-line tools, test orchestration, or automation used by other engineers
- Experience using AI-assisted development tools across the software engineering lifecycle or building AI-enabled developer workflows and automation
Qualifications
Must Haves
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or its equivalent), plus 3 years of professional software engineering experience
- Experience developing production software using one or more general-purpose programming languages
- Experience designing, building, testing, and operating production software or infrastructure
- Experience working with cloud infrastructure, distributed systems, continuous integration systems, developer tooling, or backend services
- Experience independently delivering well-scoped software engineering projects from technical design through production operation
- Demonstrated experience using AI assisted development tools across multiple stages of the software engineering lifecycle, with an interest in continuously evolving how you use these tools as their capabilities advance
Nice to Haves
- Experience with Kubernetes control-plane engineering, AWS, containers, or infrastructure as code
- Knowledge of developer tooling, continuous integration systems, internal developer platforms, or shared test infrastructure
- Experience building or operating ephemeral or production-like development and testing environments
- Experience building APIs, services, command-line tools, test orchestration, or automation used by other engineers
- Experience using AI-assisted development tools across the software engineering lifecycle or building AI-enabled developer workflows and automation
Benefits
- Target bonuses
- Equity compensation
- Retirement benefits, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
- Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
- Comprehensive health coverage, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada
- Health Savings Account contributions from Upstart for eligible plans (US only)
- Income protection benefits, including life insurance and disability coverage
- Paid time off, sick leave, and company holidays, in line with local requirements
- Paid family and parental leave to support caregiving and major life moments (duration varies by country)
- Family-centered benefits to support fertility, parenthood, and caregiving needs
- Employee Assistance Program (EAP) offering mental health support and life-centered resources
- Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
- Annual wellness allowance to support physical and emotional well-being and personal development
- Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
- Connection and community through team events, all-company updates, and employee resource groups (ERGs)
- Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!)
- Remote work arrangement
- Regular team onsites, with most teams meeting once or twice per quarter for 2-4 consecutive days at a time