Requirements

Degree in Computer Science or equivalent experience in data structures, algorithms, and distributed systems
Ability to scale backend systems including sharding, partitioning, and horizontal scaling
Passion for shipping code and seeing it run in production
Solid understanding of distributed systems and scalability challenges
Strong team collaboration skills
Thorough understanding of engineering best practices such as testing paradigms, peer code reviews, and resilient architecture
Ability to thrive in a fast-paced, test-driven, collaborative, and iterative programming environment
Consistently meet commitments on time with high-quality, unit-tested, code-reviewed software and continuous integration
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows, and drive business outcomes

Nice to Haves

Design, develop, document, test, deploy, maintain, and enhance large-scale services
Take ownership and accountability for deliverables
Triage system issues and debug by analyzing root causes and impact on service operations
Mentor other engineers, including web and backend teams, on feature services
Continuously improve product architecture, testing coverage, user experience, performance, observability, and stability
Partner with product teams to understand needs, document requirements with PMs, and implement new features
Participate in on-call rotations to sustain and maximize service availability