Senior Developer/Tech Lead focusing on AI - driven software solutions at Datacom. Collaborate with teams to design and deliver innovative projects addressing complex challenges.
About the role
- Software Engineer optimizing Troveo's video content delivery infrastructure. Focused on reliability and scalability for petabyte-scale video data processing.
Responsibilities
- 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
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