Senior Backend Engineer - Casual AI -MarTech/AdTech

Senior Backend EngineerSeeking a Senior Backend Engineer to architect and operate their backend platform that delivers scalable, high-performance insights for Fortune 500 clients. You'll build the core systems that power their causation analytics—from data processing pipelines to the APIs that serve insights to their customers. This role offers significant technical ownership and the 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 reliabilityArchitect distributed systems that can handle 10x growth in data volume and customer workloadsOptimize database performance and data models to support complex analytical queries at scaleBuild robust data processing pipelines that transform raw marketing data into actionable insightsCollaborate with frontend engineers to design clean, efficient API contractsEstablish backend engineering best practices and mentor other engineers on the teamWhat Will Help You Succeed:Backend Engineering Excellence8+ years backend engineering experience with significant ownership of production systemsExpert-level Python (FastAPI, Flask, or similar frameworks)Working proficiency in Node.js (comfortable reading and contributing when needed)Strong database knowledge (PostgreSQL, Elasticsearch (can be learned), 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 & CollaborationAbility to translate ambiguous requirements into well-defined technical designsStrong cross-functional communication and collaboration skillsEarly-stage or high-growth startup experience with fast-paced, evolving environmentsProven track record building scalable APIs and data processing pipelinesExperience with data-intensive applications and large-scale data systemsBackground collaborating with frontend engineers on API contracts and interface designNice to HaveAI/ML infrastructure experience or familiarity with analytics platformsStream processing knowledge (Kafka, Kinesis, Redis Streams)Lakehouse architectures (Iceberg) or ELT pipeline experienceExperience mentoring engineers and contributing to technical culture at scaleWhy You Might Be Excited:Hard problems with real impact: You'll tackle the hardest challenges in marketing analytics while building systems that influence multimillion-dollar decisions at Fortune 100 companiesTechnical autonomy: You want ownership over technical decisions and the freedom to solve complex problems your wayCutting-edge technology: Work with advanced AI/ML algorithms, composite AI solutions, private NVIDIA DGX clusters, and the latest in data processing at scaleElite team: Join top engineers who thrive on challenging problems and high-impact workStartup upside: Early-stage equity opportunity with experienced leadership and proven product-market fitWhy 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 youYou prefer company practices with 100% built-out process for every detailYou prefer static over dynamic.

Projects, priorities, and roles will 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