As a Senior Software Engineer, Backend on the Growth Foundations team within the Consumer & Business group, you’ll build and scale the core infrastructure that powers growth . This team owns the foundational systems behind powering efforts as: notifications at scale, incentives and referral platforms, user targeting and segmentation, lifecycle communications, and ML ranking that power more than 50% of  web and app surfaces. You’ll design and ship backend systems that enable high-impact growth initiatives for Retail, Institutional, Base, and international teams while maintaining the reliability, scalability, and performance our customers depend on.

What you’ll do:

• Own the design and delivery of scalable distributed backend services that handle high QPS, low latency, and high reliability requirements for growth infrastructure
• Architect resilient service-oriented systems using modern cloud technologies, contributing across backend, data, and ML layers of the stack
• Partner with engineers, designers, product managers, and senior leadership to translate product and technical vision into quarterly roadmaps
• Lead investments in developer tooling, shared platform capabilities, and cross-team relationships that increase organizational velocity
• Build high-quality, well-tested production code for systems that are secure, reliable, and maintainable at scale
• Drive rapid experimentation by building and iterating on growth features that deliver measurable impact to user acquisition and retention

Required Skills and Experience:

• 5+ years of professional backend software engineering experience designing, building, scaling, and maintaining production services in distributed environments
• Demonstrated expertise in server-side architecture including performance optimization, security, scalability, and containerized environments (e.g., AWS, Kubernetes, Docker)
• Proven ability to design and run growth experiments or A/B tests, using data to identify and prioritize high-impact opportunities
• Experience integrating with databases, caching layers, and storage solutions (e.g., Postgres, MongoDB, DynamoDB) in high-throughput systems
• Track record of collaborating cross-functionally with product and engineering teams to deliver end-to-end solutions from scoping through production monitoring in a high velocity environment
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

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