sofi
Staff Software Engineer, Builder Tools
At a Glance
- Location
- CA - San Francisco; WA - Seattle
- Experience
- 8+ years
- Posted
- 2026-07-17T12:43:34-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Insurance
- Medical
- Regulatory
Requirements
8+ years of software development experience.
Experience developing in a cloud environment (AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies and service meshes (e.g., Istio, Envoy).
Strong understanding of software design principles, and distributed systems architecture.
Proven programming skills (Java, Kotlin, Python, Go) in developing enterprise scale systems.
Expertise in automated testing strategies, testing in production, test tenancy, API mocking, traffic capture, routing and playback technologies.
Ability to manage and deliver projects from scoping through launch.
Responsibilities
In this role, you will have the opportunity to directly impact the design and architecture of our Developer Platform and tooling that enables SoFi engineers to create and deliver high-quality solutions.
You will collaborate and partner with a curious team of engineers to design and deliver solutions that raise the testing and reliability standards for our backend and web applications.
This new team will be focused on building a green field project to enable autonomous testing for our AI driven SDLC, leveraging cutting edge technologies to deliver a highly resilient and thorough platform.
If you are a seasoned Staff Software Engineer with a passion for building products that just work and enabling developers to build reliable services, and a strong background in distributed systems, we invite you to apply for this exciting and new opportunity.
Provide technical leadership for initiatives in Testing and Reliability, with a focus on integrating AI-driven automation and autonomous testing practices.
Collaborate with product engineering teams to understand requirements and design platform capabilities that are efficient, robust, and developer-friendly.