
11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
📱 Media
🤝 B2B
Artificial Intelligence • Media • B2B
Troveo AI is a company that curates, licenses, and delivers large-scale, rights-cleared video datasets engineered for training computer vision and multimodal AI models. They work directly with content creators and global licensors to produce annotated, training-ready clips with custom metadata and legal compliance, serving enterprise AI labs and platforms that need high-quality video for model development (e. g. , avatars, action recognition, and camera-motion-aware models). Troveo operates as a B2B data provider and platform focused on media-originated training data.
🕒 July 2
Cloud
Distributed Systems
Docker
ElasticSearch
Java
Kubernetes
Microservices
NoSQL
Python
Terraform
TypeScript
Go
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11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
📱 Media
🤝 B2B
Artificial Intelligence • Media • B2B
Troveo AI is a company that curates, licenses, and delivers large-scale, rights-cleared video datasets engineered for training computer vision and multimodal AI models. They work directly with content creators and global licensors to produce annotated, training-ready clips with custom metadata and legal compliance, serving enterprise AI labs and platforms that need high-quality video for model development (e. g. , avatars, action recognition, and camera-motion-aware models). Troveo operates as a B2B data provider and platform focused on media-originated training data.
• Design, develop, and maintain scalable backend services and APIs using microservices architecture • Build and operate production workloads on Kubernetes (deployments, services, ingress, autoscaling, Helm, etc.) • Work extensively with Elasticsearch - indexing, querying, aggregations, performance tuning, and cluster management • Apply distributed systems concepts to design fault-tolerant, highly available, and scalable systems • Optimize application performance and reliability in distributed and containerized environments • Design and implement robust CI/CD pipelines with GitOps and Kubernetes-native deployments • Troubleshoot complex issues across services, Kubernetes clusters, and Elasticsearch • Improve system observability, monitoring, and alerting in distributed environments • Participate in architectural decisions and mentor engineers on distributed systems and Kubernetes best practices • Collaborate with platform teams to evolve internal tooling and developer experience
• 10+ years of professional software engineering experience (strong backend focus) • Strong hands-on experience with Kubernetes (minimum 3+ years running production workloads) • Solid experience working with Elasticsearch (indexing strategies, query optimization, cluster scaling, etc.) • Strong understanding of distributed systems concepts (consistency models, partitioning, replication, consensus, failure handling, CAP theorem, etc.) • Proficiency in at least one backend language: Go, Python, Java, or TypeScript • Experience with Docker and container orchestration • Experience with cloud-managed Kubernetes (EKS, GKE, or AKS) • Good understanding of microservices architecture and inter-service communication patterns • Experience with relational and/or NoSQL databases • Familiarity with infrastructure-as-code tools (Terraform preferred)
• Comprehensive Health Benefits: Medical, dental, and vision coverage (100% employer-paid for employees) • Flexible PTO & Paid Holidays: Unlimited PTO with encouragement to actually use it • Remote First Policy: Work from anywhere in the US (with occasional team offsites) • Learning & Growth: Annual learning stipend, access to top conferences, and direct mentorship from experienced founders • Equity Ownership: Competitive equity package with clear growth potential as we scale • Modern Tech Stack & Tools: Budget for the best equipment and software • Strong Culture: High-trust, low-ego environment focused on impact, transparency, and work-life balance
Apply Now🕒 July 2
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