We’re UserTesting—the leader in human insight. Our mission is to help organizations craft exceptional customer experiences through fast, actionable feedback.
We empower teams to build the best products and experiences by embedding real human perspectives into every stage of the development process—from ideation to launch. With the world’s strongest participant network, AI-powered analysis, expert services, and seamless integrations, we help companies eliminate guesswork, align stakeholders, and bring customer needs into sharp focus.
Trusted by more than 3,000 organizations worldwide—including 75 of the Fortune 100—UserTesting delivers measurable business outcomes, reduces risk, and helps teams deliver with confidence. Joining our team means being part of a passionate group focused on transforming how companies understand and connect with their customers.
Let’s build experiences people love—together.
At UserTesting, the Developer Experience (DX) team builds products for engineers.
Our mission is to make software delivery faster, safer, and more scalable by creating the platforms, workflows, and paved roads engineers rely on every day. We operate with a product mindset: engineers are our users, adoption matters as much as implementation, and success is measured through developer productivity, reliability, and experience.
As Platform Engineering evolves, DX plays a key role in shifting down common engineering capabilities into reusable internal products and self-service platforms. AI is an important part of that evolution, not as a side experiment, but as a practical way to reduce toil, improve feedback loops, and help engineers build, ship, and operate software more effectively.
This role is for a strong software engineer who can take ownership of complex problems and drive them through to production. You’ll build systems that shape how engineering teams build, test, ship, and operate software at scale, while helping define how AI becomes a trusted part of the developer experience.
What You’ll DoDesign and deliver developer-facing systems end-to-end, including CI/CD pipelines, internal platforms, self-service tooling, and paved-road workflows.
Identify inefficiencies across the software lifecycle and drive improvements through automation, standardization, and platform productization.
Build and evolve CI/CD and delivery systems that enable teams to ship safely, quickly, and independently.
Improve deployment and runtime platforms with a focus on scalability, reliability, security, and ease of adoption.
Develop and maintain Infrastructure as Code with strong emphasis on clarity, reuse, and maintainability.
Drive better observability, delivery reliability, and feedback loops across the engineering lifecycle.
Partner across engineering to understand pain points and deliver solutions that meaningfully improve developer productivity.
Design and enable AI-powered developer workflows, including intelligent automation, delivery insights, engineering assistants, and other capabilities that reduce friction and accelerate delivery.
Help turn AI capabilities into practical, trusted, and scalable internal products rather than isolated experiments.
Contribute to technical direction across architecture, reliability, performance, security, and cost.
Set a high bar for code quality, documentation, and engineering practices.
5+ years of software engineering experience with a strong record of delivering production systems end-to-end.
Proven ability to design and build scalable systems, not just contribute to them.
Strong programming skills in Node.js, Python, or Go.
Solid experience with CI/CD systems, developer tooling, and modern software delivery practices.
Working knowledge of cloud platforms and containerized environments.
Ability to navigate ambiguity, make sound technical decisions, and prioritize effectively.
A strong product and platform mindset, you care about developer experience, usability, and adoption at scale.
Strong collaboration skills and the ability to influence across teams.
Strong interest in applying AI to engineering workflows in pragmatic, high-trust ways.
Experience with Kubernetes, Helm, Terraform, or AWS in production.
Experience evolving CI/CD and software delivery systems at scale.
Background in backend or distributed systems.
Familiarity with observability, including metrics, logging, tracing, and diagnostics.
Experience building or integrating AI-enabled engineering tools, such as copilots, workflow automation, or engineering insight systems.
Experience in platform engineering, internal developer platforms, or platform-as-a-product environments.
UserTesting is an Equal Opportunity Employer and a participant in the U.S. Federal E-Verify program. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply. We welcome people of different backgrounds, experiences, abilities and perspectives. UserTesting will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, as applicable.
