Software Engineer – Delivery

🕒 February 26

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Troveo AI

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, build, and maintain robust delivery pipelines that handle large-scale video ingestion, transformation, and distribution across distributed systems. • Optimize throughput, latency, and fault-tolerance across Troveo’s global data delivery layer. • Implement monitoring, redundancy, and recovery mechanisms to maintain system reliability at scale. • Collaborate with platform and ML teams to ensure smooth data handoffs into analytics, training, and indexing workflows. • Apply strong fundamentals in algorithms, data structures, and concurrency to optimize data movement and task scheduling. • Develop and tune software for high-performance, parallel data processing and low-latency streaming workloads. • Implement and optimize both OLAP and OLTP integrations—bridging analytics warehouses and transactional databases for real-time delivery insights. • Leverage tools like Python, Go, or Node.js to build efficient services and automation frameworks. • Build and maintain network-aware systems that support high-throughput video delivery using TCP/UDP, socket programming, and custom streaming protocols. • Profile, benchmark, and optimize data transmission across multi-region infrastructure. • Contribute to distributed coordination mechanisms to ensure system consistency and efficient data replication. • Own production operations for delivery services—implement alerting, observability, and incident response workflows. • Partner with infrastructure engineers to scale compute and storage resources dynamically. • Drive continuous improvement in uptime, throughput, and cost efficiency.

🎯 Requirements

• 4 - 6 years of experience in software engineering, with focus areas in distributed systems, networking, or data infrastructure • Deep understanding of algorithms, data structures, and concurrency control • Proven experience building systems that interact with both OLAP (e.g., Snowflake, BigQuery, Redshift) and OLTP (e.g., Postgres, MySQL, DynamoDB) layers • Strong proficiency in Python, Go, or Node.js for systems-level development • Familiarity with network programming principles—including TCP/UDP protocols, sockets, and performance optimization for high-throughput data streams • Experience operating within distributed, data-heavy production environments • Clear, pragmatic communication skills; capable of collaborating closely with data, ML, and platform teams.

🏖️ Benefits

• Competitive compensation with significant equity upside • High autonomy, high impact • Collaborative environment with engineers, researchers, and industry experts