Backend Engineer

At Rise, we operate at the intersection of extreme scale, real-time decisioning, and high-frequency data. As a cloud-native adtech company, our platform processes massive request volumes where every millisecond of latency and every fraction of a cent in cloud compute directly impacts our bottom line. Driven by rapid growth, we need engineers who love analyzing system bottlenecks to maximize efficiency—connecting the dots between technical innovation, system performance, and revenue growth. This is a core Back-End Engineering role. You will build high-performance, ultra-low-latency backend services that execute complex business logic, integrate with Data Science models, and serve billions of real-time requests. Our Engineering Mindset We move fast, automate aggressively, and relentlessly optimize everything we touch—from network I/O and query costs to workflow automation. We actively integrate AI tools and workflows directly into our daily SDLC to move faster, elevate code quality, automate routine overhead, and accelerate shipping cycles. Our developers operate with a full ownership mindset, communicating across multiple cross-functional stakeholders with a broad, business-oriented perspective. We thrive on a "can-do" culture and take pride in engineering elegant, cost-optimized solutions.

Requirements: • 3+ years of hands-on experience in backend engineering, building high-concurrency, low-latency applications (strong proficiency in Golang and/or Rust required, or deep background in Java/C#). • AI-Augmented Development Mindset: Experience leveraging modern AI developer tools (e.g., Claude Code, Cursor, LLM-driven testing or debugging tools) across the SDLC to ship high-quality code faster. • High-Scale System Design & Profiling: Proven track record of designing microservices and optimizing applications for performance, throughput, and memory footprint in production using CPU/memory profiling tools. • Modern Data Store Expertise: Hands-on experience with high-performance and analytical data stores such as Redis, Valkey, Aerospike, BigTable, and BigQuery. • Cloud-Native Proficiency: Deep familiarity with GCP and container orchestration via Kubernetes (GKE) and Docker. • Cost & Performance Mindset: You don't just write code that works; you care about how it runs, how much memory and CPU it consumes, and how much it costs to run at scale. • Full End to End Ownership: Ability to manage initiatives independently, navigate loosely defined tasks, and communicate effectively with cross-functional teams to keep projects moving forward. • Relentless Curiosity & Autonomy: A pragmatic, "can-do" problem solver who loves learning new tech and taking complete ownership of solutions.