Senior Payments Engineer - AI-Native, High-Scale, Remote

Lever, Inc.

Canada

Hybrid

CAD 199,000 - 327,000

Full time

14 days+
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Benefits offered by this job

Remote and hybrid opportunities
Flexible working hours
Weekly office lunches
Employee discount platform
401(k) with match

Job summary

VGS is building the platform powering agentic commerce and global payments infrastructure. We seek a Senior Software Engineer to design, scale, and fortify high-throughput payment systems with zero downtime, expanding Value-Added Services like Network Tokens and 3DS.

You will work with cross-functional teams to deliver secure, scalable systems, applying AI-native methods and modern SDLC practices for 10,000+ TPS with reliability.

Qualifications

  • 5+ years of software engineering in high-throughput distributed systems.
  • Java & Spring/Spring Boot, REST APIs, microservices.
  • Event-driven architectures with Kafka/SQS; relational DB tuning.
  • Docker, Kubernetes/EKS; AWS cloud experience.
  • Secure coding practices; PCI-DSS/SOC2 awareness.
  • Growth mindset, high agency, solving complex problems end-to-end.

Responsibilities

  • Design, build, and optimize high-availability Java microservices.
  • Integrate AI-augmented development tools into the SDLC.
  • Build automated, self-healing services with GitOps & CI/CD.
  • Configure telemetry with Prometheus, Grafana, OpenTelemetry; participate in on-call.
  • Mentor engineers and champion code quality and testing.
  • Own service functionality end-to-end with security and performance.

Skills

Ownership at Scale
Java & Microservices
Data & Messaging
Cloud-Native & Containers
Security & Compliance
Growth Mindset

Education

BA/BS degree

Tools

Docker
Kubernetes
AWS

Job description

VGS is building the platform powering agentic commerce and global payments infrastructure. We seek a Senior Software Engineer to design, scale, and fortify high-throughput payment systems with zero downtime, expanding Value-Added Services like Network Tokens and 3DS.

You will work with cross-functional teams to deliver secure, scalable systems, applying AI-native methods and modern SDLC practices for 10,000+ TPS with reliability.

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