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Senior Backend Engineer

Alembic Pharmaceuticals Ltd • 🌐 In Person • 💵 $179,000 - $200,000

In Person Posted 1 day, 10 hours ago

Job Description

About Alembic

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.

About the Role

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.

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 About Alembic

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

Compensation Range: $179K - $200K

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