Very Good Security Logo

Very Good Security

Sr. Software Engineer

Posted One Month Ago
Remote or Hybrid
Hiring Remotely in United States
170K-215K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
170K-215K Annually
Senior level
Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.
The summary above was generated by AI
About 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 our official blog and our reliability 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 Python or Typescript/Javascript, 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 Locust, 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).


Similar Jobs

4 Days Ago
Easy Apply
Remote
Easy Apply
153K-213K Annually
Senior level
153K-213K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead the design, development, and technical strategy for high-availability financial services supporting Affirm’s card loan platform. Build scalable APIs, data models, microservices, and event-driven systems; troubleshoot performance and reliability issues; collaborate cross-functionally on loan attribution and lifecycle requirements; and mentor engineers through technical guidance, design reviews, and code reviews.
Top Skills: AWSDockerEvent-Driven ArchitectureGCPKotlinKubernetesMicroservicesAzureNoSQLPythonRestful ApisSQL
5 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
154K-260K Annually
Senior level
154K-260K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and scale AI-enabled developer experience, CI/CD, deployment safeguards, observability, and automated response systems. The role focuses on making software delivery autonomous, safe, reliable, and easier for engineering teams to adopt. Responsibilities include architecting enterprise-scale platforms, orchestrating AI agents, reducing technical debt and operational toil, partnering with product engineering teams, and establishing AI-native SDLC workflows. The engineer will also provide technical leadership and turn emerging AI capabilities into production-ready internal platforms.
Top Skills: Ai AgentsAi OrchestrationAWSBuildkiteCi/CdCloud PlatformsGCPGoObservability SystemsPython
5 Days Ago
In-Office or Remote
CA, USA
185K-327K Annually
Senior level
185K-327K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.
Top Skills: Ai-Assisted Engineering ToolsAmazon ElasticacheAWSAws AuroraDynamoDBGoJavaKubernetesMySQLOpensearchRedisRubyVitess

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account