Sr. Software Engineer +

VGS builds payment tokenization and trust infrastructure for modern commerce, supporting high-scale payments and mission-critical financial systems. The Senior Software Engineer, Payments Quality will own quality strategy across payment systems, develop AI-assisted automated testing and emulators, lead performance and stress testing, improve observability, and mentor engineering teams.

Responsibilities:

• 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

Requirements:

• 5+ years of software engineering experience focusing on quality engineering, test automation framework design, and performance testing for complex, high-throughput distributed systems
• 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
• Proven track record designing and running performance, stress, and load tests at scale using tools like JMeter, Locust, Gatling, or k6
• Direct experience embedding automated quality gates into modern CI/CD pipelines (GitHub Actions, GitOps) within containerized environments (Docker, Kubernetes/EKS) on public clouds (AWS)
• Experience testing event-driven architectures (Kafka, SQS) and relational/NoSQL databases, ensuring data consistency and transactional integrity under load
• 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
• Experience with tokenization, payment processing, or security products
• BA/BS degree
• A knack for out-of-the-box thinking that thrives in a fast-paced startup environment
• Domain expertise in 3DS, Network Tokens, Account Updater, or payment gateway integrations
• Experience with AI developer tools, LLM-generated test automation pipelines, or synthetic test data generation
• Practical knowledge of compliance and cloud security constraints (PCI-DSS, SOC2)