Full Stack Engineer

TubeScience•International Falls, MN

7h•Remote

About The Position

TubeScience is one of the fastest-growing performance video companies in the world. We use data, AI, and creative systems to produce video advertising at a scale and speed that no one else has figured out. Our engineering team builds the infrastructure that makes that possible — from AI agent pipelines to the ad operations tooling that drives hundreds of millions in client spend. We are profitable, growing fast, and building in a space where the technical problems are genuinely hard. This is not a maintenance role. You will be architecting and shipping systems that directly move business outcomes. We are hiring a Senior Software Engineer to join our core platform team. You will work across the full stack — frontend tooling for complex ad workflows, cloud infrastructure, and the backend systems that tie our AI integrations together. You will be one of a small number of engineers who sets the technical direction, not just executes it. This role is fully remote. You will work closely with engineers and product leads in the US, with meaningful overlap during afternoon hours in your timezone (CET/EET).

Requirements

Strong JavaScript — React, Vue, or Angular, and you know why you are making the choice you are making
Strong Python — you have shipped production Python services, not just scripts
At least one low-level language: C, C++, Rust, Zig, or equivalent. You understand what happens below the abstraction layer.
Experience building large-scale SaaS platforms from scratch, not just joining a mature codebase
Hands-on cloud deployment and DevOps
Media pipeline experience — transcoding, ffmpeg-like tooling, media transformation, cloud storage.
You know how to instrument and observe distributed systems — not just read dashboards, but design for observability from the start
Experience with durable, fault-tolerant workflows in production
React testing and test automation — the kind that actually catches real problems

Nice To Haves

Experience with React/Next.js, FastAPI/Django/Flask, Docker/Kubernetes, PostgreSQL/MongoDB/Redis, Temporal/Airflow/Dagster, Kafka/RabbitMQ, AuthN/AuthZ patterns.
Experience shipping agent systems (MCPs, sandboxing, AI agent infrastructure)
FinOps at scale.

Responsibilities

Work across the full stack — frontend tooling for complex ad workflows, cloud infrastructure, and the backend systems that tie our AI integrations together.
Set the technical direction for the team.
Build frontend applications for ad operations workflows that handle scale and complexity.
Build cloud infrastructure on AWS/GCP/Azure: deployment pipelines, monitoring, autoscaling.
Build backend services and APIs that support multiple AI agent integrations running in production.
Contribute to system architecture that can grow.