
11 - 50 employees
Founded 2024
đ€ Artificial Intelligence
đ± Media
đ€ B2B
Artificial Intelligence âą Media âą 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.
đ„ 4 minutes ago
đ California, New York â Remote
đ” $185k - $225k / year
â° Full Time
đ Senior
đ Backend Engineer
Cloud
Distributed Systems
Docker
ElasticSearch
Java
Kubernetes
Microservices
NoSQL
Python
Terraform
TypeScript
Go
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11 - 50 employees
Founded 2024
đ€ Artificial Intelligence
đ± Media
đ€ B2B
Artificial Intelligence âą Media âą 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.
âą Design, develop, and maintain scalable backend services and APIs using microservices architecture âą Build and operate production workloads on Kubernetes (deployments, services, ingress, autoscaling, Helm, etc.) âą Work extensively with Elasticsearch - indexing, querying, aggregations, performance tuning, and cluster management âą Apply distributed systems concepts to design fault-tolerant, highly available, and scalable systems âą Optimize application performance and reliability in distributed and containerized environments âą Design and implement robust CI/CD pipelines with GitOps and Kubernetes-native deployments âą Troubleshoot complex issues across services, Kubernetes clusters, and Elasticsearch âą Improve system observability, monitoring, and alerting in distributed environments âą Participate in architectural decisions and mentor engineers on distributed systems and Kubernetes best practices âą Collaborate with platform teams to evolve internal tooling and developer experience
âą 10+ years of professional software engineering experience (strong backend focus) âą Strong hands-on experience with Kubernetes (minimum 3+ years running production workloads) âą Solid experience working with Elasticsearch (indexing strategies, query optimization, cluster scaling, etc.) âą Strong understanding of distributed systems concepts (consistency models, partitioning, replication, consensus, failure handling, CAP theorem, etc.) âą Proficiency in at least one backend language: Go, Python, Java, or TypeScript âą Experience with Docker and container orchestration âą Experience with cloud-managed Kubernetes (EKS, GKE, or AKS) âą Good understanding of microservices architecture and inter-service communication patterns âą Experience with relational and/or NoSQL databases âą Familiarity with infrastructure-as-code tools (Terraform preferred)
âą Comprehensive Health Benefits: Medical, dental, and vision coverage (100% employer-paid for employees) âą Flexible PTO & Paid Holidays: Unlimited PTO with encouragement to actually use it âą Remote First Policy: Work from anywhere in the US (with occasional team offsites) âą Learning & Growth: Annual learning stipend, access to top conferences, and direct mentorship from experienced founders âą Equity Ownership: Competitive equity package with clear growth potential as we scale âą Modern Tech Stack & Tools: Budget for the best equipment and software âą Strong Culture: High-trust, low-ego environment focused on impact, transparency, and work-life balance
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