Senior Backend Software Engineer

Base pay range Ensure all your application information is up to date and in order before applying for this opportunity. $180,000.00/yr - $240,000.00/yr Location: San Francisco, hybrid About Our Client Our client is an applied science and software company where top engineers are tackling one of the most complex challenges in modern marketing: proving what actually works. They are building systems that transform chaotic marketing data into trusted, causal insights that influence multimillion-dollar decisions at some of the world’s largest enterprises. With backing from notable technology leaders and a proven product used by Fortune-level organizations, our client is growing rapidly and solving frontier-scale technical problems in data, AI, and distributed systems. Senior Backend Engineer Our client is seeking a Senior Backend Engineer to design, build, and operate the backend systems that power their causation-driven analytics platform. You’ll architect distributed services, optimize data pipelines, and enable scalable insights for enterprise customers. This role offers meaningful ownership, greenfield architecture decisions, and the opportunity to build platform components that must perform at massive data scale. What You’ll Do Design and build scalable backend services and APIs that process large-scale marketing datasets with exceptional reliability Architect distributed systems capable of supporting 10x growth in data volume and customer load Optimize data models, storage, and query performance across PostgreSQL and related systems Create robust data processing pipelines that turn raw data into actionable insights Collaborate with frontend engineers to define efficient, elegant API contracts Establish backend engineering standards and mentor other engineers What Will Help You Succeed Technical Mastery 8+ years of backend engineering experience with ownership of production-grade systems Expert-level Python (FastAPI, Flask, or similar) Working proficiency with Node.js Strong database fundamentals (PostgreSQL, data modeling, query tuning); familiarity with Elasticsearch is a plus System design expertise—distributed systems, performance optimization, scalability strategies Experience with AWS or GCP and modern DevOps tooling (Docker, Kubernetes, Terraform, CI/CD) Ability to turn ambiguous concepts into well-architected solutions Strong cross-functional communication and product intuition Proven record building scalable APIs and high-volume data pipelines Startup or high-growth environment experience Nice to Have AI/ML infrastructure or analytics platform experience Stream processing technologies (Kafka, Kinesis, Redis Streams) Lakehouse architectures (Iceberg) or ELT pipeline experience Experience mentoring engineers and contributing to engineering culture Why This Role Is Compelling Take xrczosw on hard, unsolved problems with real business and scientific impact Own technical decisions and build systems that operate at enterprise scale Work with cutting-edge technology across AI/ML, causation analytics, and distributed systems Join a high-caliber engineering team that values speed, depth, and autonomy Benefit from early-stage upside paired with validated product-market fit Ideal Profile 7+ years of backend engineering, with deep Python expertise Experience delivering and operating production systems end-to-end Strong system design, database, and cloud infrastructure skills Excellent communication clarity and cross-functional collaboration Track record of longevity and meaningful impact— not a manager‑only profile or a series of short stints Seniority level Mid‑Senior level Employment type Full‑time Job function Software Development