Software Engineer II, Developer Platform

Upstart is an AI lending marketplace focused on reducing the cost and complexity of borrowing through advanced 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

Requirements:

• 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