Unknown Company

Senior Software Engineer

san francisco, ca • Posted 1 weeks ago
Onsite Full Time Software Architecture & Engineering

  • 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
  • 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

Benefits

  • Competitive health benefits including medical, dental, & vision insurance
  • VGS stock options
  • 401k plan, with employer matching 4% and immediate vesting of employer match
  • Life & disability insurance
  • Pre-tax flexible spending accounts (dependent and healthcare FSA)
  • Flexible work hours and flexible PTO
  • 11 US company holidays
  • Eligibility for health benefits starts on Day 1!
  • New hire home office set up allowance
  • Professional learning reimbursement

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

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)

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

Data & Messaging Validation: Experience testing event-driven architectures (Kafka, SQS) and relational/NoSQL databases, ensuring data consistency and transactional integrity under load

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

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

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)

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Senior Software Engineer in san francisco at Unknown Company

This position is listed as full time and onsite.

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