Staff Software Engineer, Growth

Design and Build Scalable Systems; Enable Data-Driven Decisions; Collaborate and Innovate; Experiment and Iterate; Promote Security & Compliance

Responsibilities

Architect, develop, and maintain microservices in Java/Kotlin (or similar languages), ensuring our 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 the data powering our Growth initiatives is accurate, reliable, and easily accessible; Work closely with cross-functional teams—Frontend, Product, Design, and Marketing—to translate business requirements into scalable backend solutions; Participate in architectural reviews, code reviews, and strategy sessions to continually elevate the quality and performance of our backend services; Develop services that support rapid A/B testing, feature toggles, and real-time performance monitoring; Continuously improve backend functionalities to reduce friction, increase user engagement, and drive conversions; Integrate secure coding practices and frameworks to protect user data and maintain global regulatory compliance; Identify potential vulnerabilities, ensure robust authentication and authorization mechanisms, and proactively address security risks

Requirements

Bachelor 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, solid understanding of OOP concepts; Experience domain driven design and event driven architectures; Deep working experience with high throughput / low latency / high available distributed systems; Cloud experience with GCP (preferred) or AWS (EC2, RDS, ELB, CloudFront, etc.) with Docker and Kubernetes; Familiarity with observability tooling such as Splunk, Grafana, and Prometheus

Nice to have

Experience with JVM based programming Java or Kotlin, familiar with Spring/Spring Boot; Experience solving GTM operations end-to-end; Knowledge of data warehousing, customer segmentation, and analytics tools; Familiarity with building internal or customer-facing products with AI & LLMs