Summary
Upstart is an AI lending marketplace focused on reducing the cost and complexity of borrowing. The Software Engineer II, Delivery will build and operate software delivery systems, automation, and developer tooling that enable safe, reliable, and self-service releases and deployments to production.
Responsibilities
- Build and improve services, automation, and developer tooling that enable engineering teams to safely release and deploy software to production
- Develop reliable deployment capabilities, including progressive rollouts, deployment health analysis, and automated rollback, to reduce the risk of production changes
- Improve visibility into releases, deployments, configuration, and production state so engineers can understand what changed, where it changed, and how it is performing
- Improve the reliability, performance, observability, and usability of Delivery systems by diagnosing recurring issues and implementing durable improvements
- Replace manual or fragmented release workflows with reusable, self-service capabilities that make the common path to production simple and consistent
- Use AI throughout software development and problem solving, and identify opportunities for AI-enabled automation that makes software delivery safer, faster, and easier to operate
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, deployment 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 continually evolving how you use these tools as their capabilities advance
- Experience with Kubernetes, AWS, containers, and infrastructure as code
- Knowledge of deployment platforms, release automation, internal developer platforms, or developer tooling
- Experience with progressive delivery practices such as canary deployments, automated health analysis, and rollback
- Experience with GitOps or deployment technologies such as Argo CD, Helm, or similar systems
- 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, deployment 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 continually evolving how you use these tools as their capabilities advance
Nice to Haves
- Experience with Kubernetes, AWS, containers, and infrastructure as code
- Knowledge of deployment platforms, release automation, internal developer platforms, or developer tooling
- Experience with progressive delivery practices such as canary deployments, automated health analysis, and rollback
- Experience with GitOps or deployment technologies such as Argo CD, Helm, or similar systems
- Experience using AI-assisted development tools across the software engineering lifecycle or building AI-enabled developer workflows and automation
Benefits
- Digital-first flexibility to work from wherever employees thrive, primarily from home or in-person from one of the company's offices
- Competitive compensation, including bonus opportunities and annual equity grants that vest quarterly
- 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 employees, 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; duration varies by country
- Family-centered benefits supporting 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 supporting physical and emotional well-being and personal development
- Annual productivity allowance for relevant tools and resources needed to do the best work
- 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 offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026)