Senior Back End Engineer

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đŸ”„ 4 minutes ago

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Logo of Troveo AI

Troveo AI

11 - 50 employees

Founded 2024

đŸ€– Artificial Intelligence

đŸ“± Media

đŸ€ 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.

📋 Description

‱ 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

🎯 Requirements

‱ 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)

đŸ–ïž Benefits

‱ 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

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