Jobs · Information Technology · California

Senior Software Engineer - Growth

Airwallex · San Francisco, CA · 1 mo ago
HybridInformation Technology$158k–$225k/yrFull-time

Responsibilities

  • Architect, develop, and maintain microservices in Java/Kotlin (or similar languages), ensuring high-traffic, high-availability systems meet global user demands.
  • Implement best practices for service-to-service communication, orchestration, and fault tolerance.
  • Collaborate with data scientists and product managers to design data pipelines, analytics platforms, and event-driven architectures.
  • Ensure Growth data is accurate, reliable, and easily accessible for key decisions.
  • Translate business requirements into scalable backend solutions by working closely with Frontend, Product, Design, and Marketing teams.
  • Participate in architectural reviews, code reviews, and strategy sessions to continually improve backend service quality and performance.
  • Develop services that support rapid A/B testing, feature toggles, and real-time performance monitoring; continuously improve backend functionalities to enhance user engagement and drive conversions.
  • Integrate secure coding practices and frameworks to protect user data and ensure global regulatory compliance. Proactively address potential vulnerabilities and security risks.

Requirements

  • Bachelor’s degree or above in computer science or engineering related majors
  • 5+ years of experience in modern engineering practices focused on continuous integration and quality engineering
  • Strong computer science fundamentals and understanding of OOP concepts
  • Deep experience with high throughput/low latency/high availability distributed systems
  • Cloud experience with GCP (preferred) or AWS (EC2, RDS, ELB, CloudFront, etc.), and familiarity with Docker and Kubernetes
  • Familiarity with observability tooling such as Splunk, Grafana, and Prometheus

Qualifications

  • Experience with JVM-based programming in Java or Kotlin; familiarity with Spring/Spring Boot
  • Knowledge of data warehousing, customer segmentation, and analytics tools
  • Familiarity with building internal or customer-facing products using AI and LLMs

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