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Senior Back End Engineer

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πŸ”₯ 0 minutes ago

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Troveo AI

11 - 50 employees

Founded 2024

πŸ€– Artificial Intelligence

πŸ“± Media

🀝 B2B

Artificial Intelligence β€’ Media β€’ 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.

πŸ“‹ Description

β€’ Design, develop, and maintain scalable backend services and APIs using microservices architecture β€’ Build and operate production workloads on Kubernetes (deployments, services, ingress, autoscaling, Helm, etc.) β€’ Work extensively with Elasticsearch - indexing, querying, aggregations, performance tuning, and cluster management β€’ Apply distributed systems concepts to design fault-tolerant, highly available, and scalable systems β€’ Optimize application performance and reliability in distributed and containerized environments β€’ Design and implement robust CI/CD pipelines with GitOps and Kubernetes-native deployments β€’ Troubleshoot complex issues across services, Kubernetes clusters, and Elasticsearch β€’ Improve system observability, monitoring, and alerting in distributed environments β€’ Participate in architectural decisions and mentor engineers on distributed systems and Kubernetes best practices β€’ Collaborate with platform teams to evolve internal tooling and developer experience

🎯 Requirements

β€’ 10+ years of professional software engineering experience (strong backend focus) β€’ Strong hands-on experience with Kubernetes (minimum 3+ years running production workloads) β€’ Solid experience working with Elasticsearch (indexing strategies, query optimization, cluster scaling, etc.) β€’ Strong understanding of distributed systems concepts (consistency models, partitioning, replication, consensus, failure handling, CAP theorem, etc.) β€’ Proficiency in at least one backend language: Go, Python, Java, or TypeScript β€’ Experience with Docker and container orchestration β€’ Experience with cloud-managed Kubernetes (EKS, GKE, or AKS) β€’ Good understanding of microservices architecture and inter-service communication patterns β€’ Experience with relational and/or NoSQL databases β€’ Familiarity with infrastructure-as-code tools (Terraform preferred)

πŸ–οΈ Benefits

β€’ Comprehensive Health Benefits: Medical, dental, and vision coverage (100% employer-paid for employees) β€’ Flexible PTO & Paid Holidays: Unlimited PTO with encouragement to actually use it β€’ Remote First Policy: Work from anywhere in the US (with occasional team offsites) β€’ Learning & Growth: Annual learning stipend, access to top conferences, and direct mentorship from experienced founders β€’ Equity Ownership: Competitive equity package with clear growth potential as we scale β€’ Modern Tech Stack & Tools: Budget for the best equipment and software β€’ Strong Culture: High-trust, low-ego environment focused on impact, transparency, and work-life balance

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