TubeScience
performance video
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at TubeScience. Skills: Full Stack Engineering, Frontend Development, Cloud Infrastructure, Backend Services, AI Integrations, System Architecture. Work across the full stack — frontend tooling for complex ad workflows, cloud infrastructure, and the backend systems that tie our AI integrations together. Architecting and shipping systems that directly move business outcomes”
What You'll Achieve.
produce video advertising at a scale and speed that no one else has figured out; build the infrastructure that makes that possible; architecting and shipping systems that directly move business outcomes; sets the technical direction; handle scale and complexity; drives hundreds of millions in client spend
Industry & Context.
technical problems are genuinely hard; scale and complexity; design for observability from the start
MUST BE BASED IN EASTERN EUROPE, fully remote, meaningful overlap during afternoon hours in your timezone (CET/EET)
What They're Looking For.
Must Have
JavaScript — React, Vue, or Angular, Python — shipped production Python services, At least one low-level language: C, C++, Rust, Zig, or equivalent, Experience building large-scale SaaS platforms from scratch, Hands-on cloud deployment and DevOps, Media pipeline experience — transcoding, ffmpeg-like tooling, media transformation, cloud storage, Instrument and observe distributed systems — design for observability from the start, Experience with durable, fault-tolerant workflows in production, React testing and test automation
Nice to Have
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
What You'll Do.
Work across the full stack — frontend tooling for complex ad workflows
and the backend systems that tie our AI integrations together
Architecting and shipping systems that directly move business outcomes
Build frontend applications for ad operations workflows that handle scale and complexity
Build cloud infrastructure on AWS/GCP/Azure: deployment pipelines
Build backend services and APIs that support multiple AI agent integrations running in production
Define system architecture that can grow
How You'll Work.
Team & Collaboration
Work closely with engineers and product leads in the US; Meaningful overlap during afternoon hours in your timezone (CET/EET)
Full Job Description
🚀 Senior Software Engineer — Remote, Eastern Europe TubeScience | Full-Time | Remote-First FULLY REMOTE. MUST BE BASED IN EASTERN EUROPE About TubeScience 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. The Role 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). What You Will Build Frontend applications for ad operations workflows that handle scale and complexity — this is not a marketing site, it is a production tool used by operators running large campaigns daily Cloud infrastructure on AWS/GCP/Azure: deployment pipelines, monitoring, autoscaling, the works Backend services and APIs that support multiple AI agent integrations running in production System architecture that can grow — you will be in the room where these decisions get made What We Need From You 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:
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