Sr. Software Engineer

OfferGenie; San Francisco (CA); Hybride; USD 150 000 - 190 000; Plein temps

Résumé du poste

VGS is seeking a Sr. Software Engineer, Payments Quality, to set and enforce world-class quality standards across our high-throughput payments platform. You will build end-to-end automated tests and AI-assisted strategies, plus emulators for external systems.

You will collaborate with feature teams, drive performance testing, and ensure zero downtime while improving telemetry and analytics with Prometheus and Grafana.

Qualifications

• 5+ years of software quality engineering for high-throughput distributed systems.
• Experience in automated test suites and REST API testing.
• Proficiency with CI/CD pipelines and cloud-native environments (AWS).

Responsabilités

• Define and embed quality benchmarks across Payments Acceptance, automating guardrails in pipelines.
• Lead high-concurrency load, stress, and latency testing to prevent downtime.
• Develop AI-assisted testing tools and emulators for external systems.
• Enhance observability with Prometheus and Grafana; drive blameless post-mortems.

Connaissances

Quality engineering

Test automation

Java

Python

Go

TypeScript

CI/CD

Kubernetes

AWS

Prometheus

Grafana

AI tooling

Formation

Bachelor's degree in CS or related field

Outils

JMeter

Locust

Gatling

k6

Kafka

SQS

Docker

Kubernetes

Description du poste

# Sr. Software EngineerVGSSan Francisco Bay AreaFull TimeSeptember 4, 2026Sr Software EngineerApply with AI Cover Letter## Job DescriptionAbout VGS VGS is building the trust infrastructure for a new era of commerce. As commerce becomes agentic, payments are increasing dramatically in volume, speed, and complexity, and the companies driving that shift need a foundation they can fully trust. That's where VGS comes in. We're the world's leader in payment tokenization, trusted by the most innovative AI and Fortune 500 companies, merchants, banks, and fintechs to power modern payments and agentic commerce. We store more than 9 billion tokens and process more than 10 billion monthly interactions, touching a third of all e-commerce. That scale isn't incidental. It's why leading companies embed our universal token vault and credential management platform directly into their stack, taming the complexity of payment data so they can move faster. Come build the platform that enables modern payments for the world's largest companies. We're helping businesses unlock new possibilities in an industry that never stops moving. And that takes exceptional people. Trusted Engineering That Matters Engineering at VGS VGS is building the platform powering agentic commerce and global payments infrastructure. VGS Engineering is the pillar that supports that vision. We create a platform that is an indispensable, ubiquitous component of our partners' payments and security infrastructure. We build and operate high-scale, reliable, and resilient systems that manage mission-critical payment data across the globe. We don't just participate in the payments ecosystem; we power it. Our Environment & Culture Modern Tooling as Leverage: We value speed and impact. To ensure nothing slows you down, we arm you with a highly consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems that demand creativity and judgment. Ownership of Outcomes: Scaling global payments infrastructure requires individuals who take personal ownership of outcomes from day one. We look for builders who combine high agency with deep strategic alignment; channeling their urgency and relentless iteration into what matters most. Mission-Critical Accountability: We power payments infrastructure for global market leaders, making system trust and integrity our core deliverable. We don't treat compliance (PCI, SOC2, ISO27001), security patching, and platform maintenance as administrative overhead—we engineer them with first-class product discipline. In payments infrastructure, reliability is not background work, it’s part of what customers buy. Learn More: See how our engineering practices drive trust and innovation in ourofficial blog and ourreliability practices. About the Role 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. 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. What You'll Do 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. What You Bring 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. Nice to Have: 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).