Senior Software Engineer, Very Good Security

• We are looking for hands-on builders who refuse to settle for the status quo, hate manual friction, and take immense pride in fortifying enterprise-grade financial systems for scalability, reliability, and security
• Ownership in Quality Engineering: 5+ years of software engineering experience focusing on quality engineering, test automation framework design, and performance testing for complex, high-throughput distributed systems
• Automation & Scripting Mastery: Deep hands-on experience building automated test suites in Java, Python, Go, or TypeScript, with a strong command of REST API testing and microservices validation
• Performance & Load Testing Depth: Proven track record designing and running performance, stress, and load tests at scale using tools like JMeter, Locust, Gatling, or k6
• CI/CD & Cloud-Native Toolchains: Direct experience embedding automated quality gates into modern CI/CD pipelines (GitHub Actions, GitOps) within containerized environments (Docker, Kubernetes/EKS) on public clouds (AWS)
• Data & Messaging Validation: Experience testing event-driven architectures (Kafka, SQS) and relational/NoSQL databases, ensuring data consistency and transactional integrity under load
• High-Agency Mindset: An innate drive to eliminate manual friction, proactively seek out edge cases, and acquire whatever missing domain context is needed to solve complex quality challenges end-to-end

Desirable

• As a Sr. Software Engineer, Payments Quality, you will serve as a key technical practitioner and quality champion on our Payments Engineering team. You will take ownership of setting, building, and enforcing world-class quality standards across our core payment systems. In this role, you will write software for robust AI-assisted quality strategies covering end-to-end automated regression suites and high-concurrency performance and load testing
• Working closely with feature development engineers, Tech Leads, and Product Management, you will ensure our mission-critical, high-throughput payment platform and applications operate with zero downtime and flawless accuracy. Rather than relying on manual QA or traditional top-down testing scripts, you will leverage AI-native engineering methodologies and integrate test automation across the entire SDLC
• You will also be building emulators for external systems, such as card networks and other partner integrations
• Architect and Embed Quality Benchmarks: Own the overarching quality strategy for Payments Acceptance, building automated guardrails so seamlessly into our pipelines that rigorous end-to-end validation happens automatically, without slowing down feature teams, accelerating release cycles
• Drive Performance & Stress Testing: Architect and execute high-concurrency load, stress, and latency testing to stress-test payment pipelines under extreme transaction volumes. You own the mission of ensuring our platform never drops transactions or degrades in latency during peak periods.
• Pioneer AI-Native Software Engineering focused on Quality: Actively integrate AI-assisted developer tools and agentic workflows into test creation, synthetic data generation, and automated edge-case analysis to multiply testing velocity. Build high performance emulators for external systems
• Deep Observability & Incident Prevention: Implement robust telemetry and telemetry-driven test environments using tools like Prometheus and Grafana to monitor system behavior under load, driving blameless post-mortems and proactive bug prevention
• Cross-Functional Velocity & Mentorship: Partner with feature teams to build "Golden Paths" for automated testing, ensuring engineers can validate code rapidly with high confidence. Mentor team members on quality engineering best practices