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