Responsibilities
- Build comprehensive bottoms-up test strategies for infrastructure changes and releases
- Build test automation frameworks, tools, and solutions to make testing faster, more efficient, and stable
- Leverage artificial intelligence technologies to augment testing activities, including agentic automation, MCPs, RAG applications, etc.
- Write test plans covering various customer use cases – functional, compliance, and legal aspects
- Engage in projects from the initiation phase to identify gaps in requirements and failure modes in design
- Automate tests based on what’s most valuable and high priority
- Collaborate with product, design, information security, and business team members to quickly grasp domain knowledge
- Develop concise, articulate, and detailed documentation
- Participate in scope definition, requirements analysis, functional and technical test design, and test gap analysis
- Provide technical assistance in the diagnosis of issues
- Assist in identification of defect trends and partner with development teams to fix the root cause
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field (or 5 years software engineering experience)
- 5-10 years of software testing experience
- Fintech, trading, or financial services industry experience
- Experience leading quality efforts for internet applications
- Experience in test automation on UI, API, or others
- Experience enhancing existing test automation frameworks (Playwright, Cypress, Selenium, K6, etc.)
- Experience with CI/CD pipelines
- Fluency with AI technologies related to testing and validation
Nice-to-Haves
- Experience in E2E automation, contract testing, API automation, load, and performance testing
- Experience mentoring other quality engineers
- Proven track-record of teamwork and delivery
- Experience at high-growth, venture-backed startups
Compensation
For residents of the San Francisco, CA area, the annual salary range for this role is $175,000 - $205,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors.