Sr. Software Engineer

VGS
Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Iowa, Michigan, Minnesota, New York, North Carolina, Ohio, Oregon, Pennsylvania, Texas, Utah, Virginia, Washington, Ontario, Alberta, British Columbia
Workplace: RemoteFull timeUSD 170,000 - 215,000 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: ["High agency","Ownership","Mentorship","Observability","Cross-functional collaboration"]

Own and advance quality engineering for mission-critical payments systems. Build and enforce automated quality benchmarks across the SDLC, architect high-concurrency load and stress testing, and integrate AI-assisted tooling to accelerate regression coverage. Partner with feature teams to deliver “golden paths” for automated testing and develop high-performance emulators for external systems. Drive deep observability with telemetry to prevent incidents and enable blameless post-mortems.

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FursaFursa
VGS
VGS
1 day ago

Sr. Software Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Own and advance quality engineering for mission-critical payments systems. Build and enforce automated quality benchmarks across the SDLC, architect high-concurrency load and stress testing, and integrate AI-assisted tooling to accelerate regression coverage. Partner with feature teams to deliver “golden paths” for automated testing and develop high-performance emulators for external systems. Drive deep observability with telemetry to prevent incidents and enable blameless post-mortems.
Location: Arizona, California, Colorado, Connecticut, Florida, Idaho, Illinois, Iowa, Michigan, Minnesota, New York, North Carolina, Ohio, Oregon, Pennsylvania, Texas, Utah, Virginia, Washington, Ontario, Alberta, British Columbia
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the overarching quality strategy for payments acceptance and build automated guardrails that perform end-to-end validation without slowing feature development.
  • •Architect and execute high-concurrency load, stress, and latency testing to prevent transaction loss and latency degradation during peak periods.
  • •Integrate AI-assisted developer tools and agentic workflows into test creation, synthetic data generation, and automated edge-case analysis; build high-performance emulators for external systems.
  • •Implement robust telemetry and telemetry-driven test environments using Prometheus and Grafana to monitor behavior under load and drive proactive incident prevention.
  • •Partner with feature teams to build “golden paths” for automated testing and mentor team members on quality engineering best practices.

Pay and Benefits

Salary: USD 170,000 - 215,000 annually
Equity and Bonus:Equity
Perks:401kEquityInternet StipendLearning BudgetOffice Set-upHealth InsuranceDentalVisionHsa/fsaLife InsurancePet InsurancePaid LeaveParental LeaveRemote WorkGym Membership

Key Requirements

  • •5+ years of software engineering experience focused on quality engineering, test automation framework design, and performance testing for complex, high-throughput distributed systems.
  • •Hands-on experience building automated test suites in Java, Python, Go, or TypeScript, including REST API testing and microservices validation.
  • •Proven ability designing and running performance, stress, and load tests at scale using tools like JMeter, Locust, Gatling, or k6.
  • •Experience embedding quality gates into CI/CD pipelines (GitHub Actions, GitOps) in containerized environments (Docker, Kubernetes/EKS) on public clouds (AWS).
  • •Experience testing event-driven architectures (Kafka, SQS) and relational/NoSQL databases to ensure data consistency and transactional integrity under load.
Experience:5+ years
Skills:High agencyOwnershipMentorshipObservabilityCross-functional collaboration
Tech Stack:AWSKubernetesEKSJavaTypeScriptPythonPrometheusGrafanaGitHub ActionsGitOpsDockerRESTMicroservicesKafkaSQSJMeterLocustGatlingK6

Company Brief

VGS
Provides data security and privacy infrastructure that lets companies collect, store, and use sensitive data without touching or storing it, using tokenization and secure data vaulting to minimize compliance scope.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series D
Headquarters: New York, United States
Founded: 2016
WebsiteLinkedIn