Banking is being reimaginedand customers expect every interaction to be
easy, personal, and instant
.We are building a
universal banking assistant
that millions of U.S. consumers can use to transact across all financial institutions and, over time,
autonomously drive their financial goals
. Powered by our proprietary
BankGPT platform
, this assistant is positioned to
displace age-old legacy systems
within financial institutions and
own the end-to-end CX stack
,
unlocking a $200B opportunity
and potentially
replacing multiple publicly traded companies
.Ultimately,
our mission is to drive financial well-being
for millions of consumers.With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate,
we aim to
put financial well-being on autopilot
to help solve this problem.As an SDET-II at Interface.ai, you'll be a cornerstone of our Quality Assurance team, driving the quality strategy for our cutting-edge Conversational AI platform that powers intelligent virtual assistants for financial institutions. You'll lead the design, development, and implementation of advanced test automation frameworks, ensuring our AI-driven solutions are robust, scalable, and delightful for millions of users across the globe.This isn't just about writing test scriptsit's about owning quality end-to-end. You'll collaborate closely with our AI engineers, product teams, and platform architects to embed quality into every layer of our Agentic AI platform. From testing real-time interactions (like WebSockets and server-sent events) to ensuring the reliability of our Voice models and APIs, you'll solve complex challenges at the intersection of AI and fintech.Our QA team is a tight-knit group passionate about delivering flawless experiences. We're working on groundbreaking projectslike automating AI model validation and building self-service testing tools as platform services. If you thrive in a fast-paced environment, love mentoring engineers, and are excited to shape the future of AI in financial services, this role is for you.
What You'll Do
- Lead Test Strategy: Define and implement comprehensive test strategies for Interface.ai's Conversational AI platform, covering functional, performance, security, and scalability aspects.
- Build Automation Frameworks: Design and develop advanced, reusable test automation frameworks beyond Selenium, PlayWright, TestNG, Appium or RestAssured. We focus on custom solutions tailored to our AI-driven workflows.
- AI-Specific Testing: Create innovative testing approaches for NLP & Voice models, intent recognition, and dialogue flows, ensuring our virtual assistants perform flawlessly under real-world conditions.
- Innovation: We truly believe the next chapter of test automation with AI tools is going to be revolutionary, you will be part of this innovation lab to redefine Quality assurance in the new world
- End-to-End Ownership: Take full ownership of quality for critical initiatives, from crafting detailed test plans to executing them across CI/CD pipelines (e.g., Jenkins, Github Actions).
- Mentor & Collaborate: Guide junior SDETs and developers in adopting AI tools and best practices, while partnering with cross-functional teams to solve system-wide quality challenges.
- Performance & Scale: Design and execute load, stress, and latency tests for our distributed systems, ensuring they withstand the demands of high-volume financial transactions.
- Documentation & Innovation: Maintain meticulous documentation of test architectures and lead POCs (Proof of Concepts) for new tools, frameworks, or languages to keep our QA practices cutting-edge.
- Proficiency in advanced prompt engineering, including designing, optimizing, and integrating LLM prompts into complex workflows and production systems.
What You'll Bring
- Experience: At least 3+ years in software testing, with 2+ years as an SDET building automation frameworks in a product or platform environment.
- Technical Expertise:
- High Proficiency in Java (or similar languages like Python) for test automation, with deep knowledge of design patterns and reusable components.
- Hands-on experience with testing tools like Selenium, Appium, RestAssured, TestNG, Cucumber, or equivalents.
- Strong understanding of microservices, REST APIs, and real-time systems (e.g., WebSockets, server-sent events).
- Familiarity with CI/CD pipelines (Jenkins, Github Actions) and containerized environments (Docker, Kubernetes).
- AI/Fintech Edge: Exposure to testing AI/ML systems (e.g., LLM, NLP, Chatbots) or fintech applications is a big plus.
- Leadership Skills: Proven ability to lead initiatives, mentor teams, and drive cross-team collaboration with compassion and clarity.
- Problem-Solving: A knack for tackling ambiguous, high-stakes challenges with a structured, innovative approach.
- Communication: Excellent written and verbal skills, with the ability to articulate complex technical concepts to diverse stakeholders.
Nice to Have
- Experience with cloud platforms (AWS, GCP, Azure) and tools like Terraform or Ansible.
- Knowledge of security testing practices for financial systems (e.g., OWASP standards).
- Contributions to open-source testing tools or frameworks.
At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.
