About vidIQ
vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.
Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.
Discover more about vidIQ firsthand at www.vidiq.com.
About the Team
We're a rapidly growing team of over 100 people. Our vision is to be a personal copilot for every YouTube creator. We foster a welcoming environment where smart, passionate people can exchange ideas and perform at their best. We seek team members who excel in their crafts, communicate with respect and confidence, and act like owners.
Our Technology Stack
Frontend: TypeScript, React.js, Next.js
Backend: Scala, Python, Node.js
Infrastructure & CI/CD: Kubernetes, Docker, GitHub, ArgoCD
Cloud: AWS, GCP, Azure
Databases: PostgreSQL, MongoDB, DynamoDB, OpenSearch
Data Processing: Python, Spark, Kafka, Airflow, Pandas, Numpy
Machine Learning: PyTorch, HuggingFace, OpenAI, Vertex AI, Groq
About the Role
We're seeking a seasoned backend engineer to drive product innovation and deliver high-impact results. While machine learning expertise is beneficial, strong foundational skills in backend development are essential. You will collaborate with cross-functional teams to design, develop, and maintain scalable services and APIs, ensuring our backend infrastructure supports our ambitious growth objectives.
Responsibilities
Design and develop scalable backend services and APIs.
Optimize databases and system architecture for peak performance.
Build fault-tolerant systems with effective load balancing and redundancy.
Collaborate closely with Machine Learning, Frontend, DevOps, and Data Engineering teams to deliver cohesive end-to-end solutions, align on technical decisions, and ensure smooth integration between system components
Lead by example in a fast-paced, results-oriented environment, maintaining high code quality and system reliability through rigorous testing and documentation.
Engage in continuous learning and adopt new technologies to enhance backend infrastructure.
Participate in on-call duties to ensure system stability and performance.
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