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Feedzai is a Series D fintech company ($2B valuation, $282M raised) building AI-powered fraud detection and financial crime prevention. The company protects 1 billion consumers and $9 trillion in annual payment volume for the world's top banks and payment networks.
As a Software Engineer in Test, you will elevate quality standards across multiple concurrent projects with a Quality First mindset embedded throughout the full software development lifecycle. Beyond traditional automated testing and test architecture, you will champion next-generation QA by designing and integrating AI Agents, custom Agent Skills, and automated scripts to optimize team processes and improve code quality.
You will collaborate closely with project and engineering teams to build resilient, scalable quality systems and bridge the gap between development and quality, ensuring high standards from design to deployment.
Key Responsibilities:
- Design comprehensive, flexible testing strategies tailored to specific project needs
- Evaluate and decide the exact types of testing required per project (API, UI, integration, regression, E2E)
- Build, scale, and improve technical tooling including CI/CD pipelines, reporting, quality dashboards, and test environments
- Balance capacity and switch context across several concurrent projects without sacrificing quality standards
- Write, maintain, and execute automated test scripts and shell scripts using Java, Python, and Bash
- Guide development teams on Quality First mindset, testing procedures, and best practices within Agile/Scrum project cycles
- Understand, apply, and integrate AI tools, AI agents, and automated scripts into workflows to streamline QA and improve development process efficiency
Requirements:
- 3+ years of experience as a Software Engineer in Test, QA Automation Engineer, or similar technical quality role
- Strong practical understanding of Docker (creating/managing Dockerfiles and Docker Compose) and Kubernetes concepts (pods, deployments, services, helm charts) to execute, scale, and debug tests in containerized environments
- Understanding of Agile/Scrum practices (sprint planning, backlog refinement, retrospectives)
- Hands-on experience with version control concepts, branch strategy, PR reviews, and merge conflict resolution (Git)
- Hands-on proficiency in Java and Python for test framework development, alongside Bash scripting within Unix/Linux environments
- Strong experience across API, UI, and integration testing, fully integrated into CI/CD pipelines (e.g., Jenkins, GitLab CI)
- Understanding of AI Agents, MCP (Model Context Protocol) specifications, Agent Skills/Tools, and prompt engineering to build intelligent test runners or automated quality checks; context management including prompt window optimization, knowledge base retrieval strategies, and maintaining session state for complex, multi-turn AI-driven execution
Nice-to-Have:
- Experience managing custom test reporting dashboards (e.g., Snowflake, Grafana)
- Knowledge of performance and load testing frameworks (e.g., JMeter, Locust, K6)
- Exposure and understanding of Traceability Matrices in Test Case creation
