Backend Engineer, Data Products
About The Position
Alembic is where top engineers are solving marketing's hardest problem: proving what actually works. If you're looking for frontier technical challenges at an applied science company, this is the place. At Alembic, we're not just building software-we're decoding the chaos of modern marketing. Join Alembic to build trusted systems that Fortune 100 companies use to make multimillion-dollar decisions. We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more. We're looking for a Senior Backend Engineer to architect and operate our backend platform that delivers scalable, high-performance insights for Fortune 500 clients. You'll build the core systems that power our causation analytics-from data processing pipelines to the APIs that serve insights to our customers. This role offers significant technical ownership and the opportunity to work on complex distributed systems at enterprise scale.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Education Level
No Education Listed
Number of Employees
11-50 employees
