Senior Backend Engineer - Casual AI -MarTech/AdTech

Senior Backend Engineer Seeking a Senior Backend Engineer to architect and operate backend platform delivering scalable, high-performance insights for Fortune 500 clients. Build core systems for causation analytics—data processing pipelines to APIs serving insights. This role offers significant technical ownership and opportunity to work on complex distributed systems at enterprise scale. What You’ll Do Design and build scalable backend services and APIs that process massive marketing datasets with high reliability. Architect distributed systems that can handle 10x growth in data volume and customer workloads. Optimize database performance and data models to support complex analytical queries at scale. Build robust data processing pipelines that transform raw marketing data into actionable insights. Collaborate with frontend engineers to design clean, efficient API contracts. Establish backend engineering best practices and mentor other engineers on the team. Backend Engineering Excellence 8+ years backend engineering experience with significant ownership of production systems. Expert-level Python (FastAPI, Flask, or similar frameworks). Working proficiency in Node.js (comfortable reading and contributing when needed). Strong database knowledge (PostgreSQL, Elasticsearch, data modeling, query optimization). System design expertise (distributed systems, scalability patterns, performance optimization). AWS/GCP experience with modern DevOps tooling (Docker, Kubernetes, Terraform, CI/CD pipelines). Problem Solving & Collaboration Ability to translate ambiguous requirements into well-defined technical designs. Strong cross-functional communication and collaboration skills. Early-stage or high-growth startup experience with fast-paced, evolving environments. Proven track record building scalable APIs and data processing pipelines. Experience with data-intensive applications and large-scale data systems. Background collaborating with frontend engineers on API contracts and interface design. Nice to Have AI/ML infrastructure experience or familiarity with analytics platforms. Stream processing knowledge (Kafka, Kinesis, Redis Streams). Lakehouse architectures (Iceberg) or ELT pipeline experience. Experience mentoring engineers and contributing to technical culture at scale. Why You Might Be Excited Hard problems with real impact: tackle challenges in marketing analytics while building systems that influence multimillion-dollar decisions at Fortune 100 companies. Technical autonomy: ownership over technical decisions and freedom to solve complex problems your way. Cutting-edge technology: work with advanced AI/ML algorithms, composite AI solutions, private NVIDIA DGX clusters, and latest in data processing at scale. Elite team: join top engineers who thrive on challenging problems and high-impact work. Startup upside: early-stage equity opportunity with experienced leadership and proven product-market fit. Why You Might Not Be Excited If you only want to tell people what to build instead of building and coding alongside them, we’re not the environment for you. You prefer company practices with 100% built-out process for every detail. You prefer static over dynamic; projects, priorities, and roles adapt to your skill set and goals. Though we have real paying customers and a playbook for growth, we proudly remain an early-stage startup. #J-18808-Ljbffr Three Pillars Recruiting