Three Pillars Recruiting ยท 11 hours ago
Senior Backend Engineer - Casual AI -MarTech/AdTech
Three Pillars Recruiting is seeking a Senior Backend Engineer to architect and operate their backend platform that delivers scalable, high-performance insights for Fortune 500 clients. The role involves building core systems for causation analytics, managing data processing pipelines, and optimizing backend services for high reliability and performance.
Responsibilities
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
Qualification
Required
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 (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)
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
Preferred
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
Benefits
Early-stage equity opportunity