Senior Backend Engineer

Hiring: Senior Backend Engineer Role Details Location: San Mateo, CaliforniaWork Model: Hybrid, minimum 4 days onsite per weekEmployment: Full-timeVisa: TN and H-1B transfers considered case-by-case; eligible OPT candidates may also be considered.Candidates must be local to the Bay Area or willing to relocate. We are hiring Senior Backend Engineers for a well-funded, Series A AI startup building next-generation AI-native business intelligence solutions for enterprise customers. This role is ideal for engineers who enjoy solving complex backend engineering problems, building scalable data infrastructure, and taking ownership of critical product systems in a high-performance engineering environment. Key Responsibilities Design, build, and scale large-scale data pipelines supporting latency-critical analytical workloads.Develop highly scalable, reliable, secure, and cost-efficient backend systems and services.Architect and optimize distributed systems, data processing workflows, and backend infrastructure.Work across the product and codebase, contributing to backend, platform, and infrastructure engineering.Collaborate closely with ML engineers to build AI-powered analytics and data intelligence capabilities.Drive system design, technical architecture, performance optimization, and production reliability.Take end-to-end ownership of engineering projects, from design and implementation to deployment and optimization.Collaborate directly with co-founders, product teams, and customers to influence technical and product direction. Must-Have Skills & Qualifications 4+ years of professional experience in Backend Engineering, Platform Engineering, Infrastructure, or Systems Engineering.Strong programming proficiency in Python and TypeScript.Hands-on experience building or scaling large-scale data pipelines and data-intensive backend systems.Strong understanding of distributed systems, system design, data structures, and algorithms.Experience developing and maintaining production-grade backend services.Strong debugging, problem-solving, and low-level coding capabilities.Experience working in strong product engineering environments with high standards for code quality, architecture, and engineering ownership.Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, or Statistics. Preferred Background Experience at engineering-driven product companies such as Google, Meta, Uber, Rubrik, Glean, Ramp, Brex, DoorDash, or similar technology organizations. Rust experience and prior startup exposure are additional advantages.