Senior Backend Engineer - Casual AI -MarTech/AdTech
three pillars recruitingMillbrae (CA)
Senior Backend Engineer - Casual AI -MarTech/AdTech
Posted 43 days ago
three pillars recruitingMillbrae (CA)
SENIORITY
Lead
About the role
PLEASE CLICK HERE TO SEE *ALL* OF OUR JOB OPENINGS!Senior Backend Engineer Seeking 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 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
- What Will Help You Succeed: 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 (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 & 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: You'll tackle the hardest challenges in marketing analytics while building systems that influence multimillion-dollar decisions at Fortune 100 companies
- Technical autonomy: You want ownership over technical decisions and the freedom to solve complex problems your way
- Cutting-edge technology: Work with advanced AI/ML algorithms, composite AI solutions, private NVIDIA DGX clusters, and the 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 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
Job-3508003*LI-NB1#LI-Onsite
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.