Software Engineer, Test Platform

Position: Staff Software Engineer, Test Platform
# Staff Software Engineer, Test Platform So Fi Be  an Early Applicant Full Timestaff Seattle, Washington, USPosted Today##

Role Overview So Fi  is hiring a Staff Software Engineer, Test Platform. This is a full-time role in Seattle, Washington. Part of SoFi's Backend hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting.

Market median for Staff-level Backend roles is $200k-$269k (based on 33 comparable listings). Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

Python Java Go Kotlin AWSDocker Kubernetes Git Lab Sign  up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way.

Join us to invest in yourself, your career, and the financial world.

The Role:

We are seeking a highly skilled and experienced Staff Software Engineer to join our Test Platform team. 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.

What You’ll Do:

* 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.
* Architect and implement solutions that accelerate integration, load, performance, and chaos testing—including the use of AI for automated test generation, selection, and failure analysis.
* Deliver software that enables seamless testing and operation of backend systems in cloud-native, containerized, and CI/CD environments, supporting shift-left and continuous delivery.
* Research, prototype, and product ionize AI/ML tools to enhance developer productivity, test coverage, and test maturity.
* Lead code reviews, refactoring, and provide constructive feedback to team members, promoting a culture of continuous improvement.
* Champion best practices for code health, test automation, environment stability, and software maintainability, contributing to the evolution of autonomous testing t You’ll Need:
* Experience - Bachelor's or Master's degree in Computer Science, Software Engineering or a related technical field.
* 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).
* Design - Strong understanding of software design principles, and distributed systems…