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Stealth-mode startup. Mission-critical tech. Ground-floor opportunity.

You will design, deploy, and scale distributed systems that power the node base stations and cloud services. This role owns the reliability, scalability, and performance of our clients platform across edge devices and cloud infrastructure.

What You'll Do

• Architecting and operating distributed, Linux-based systems across edge and cloud environments.
• Designing scalable pipelines for streaming, storing, and processing vast amounts of video and sensor data.
• Building containerized services (Docker/Kubernetes) to deploy perception and inference workloads at scale.
• Developing observability systems for monitoring, logging, and alerting across a fleet of edge nodes and cloud infrastructure.
• Optimizing queue‑based video ingestion, transcoding, and upload pipelines for reliability under bandwidth‑constrained environments.

Need to have

• Deep experience with databases, storage, and caching technologies (PostgreSQL, Redis, object stores like S3, and distributed file systems).
• Expertise building and maintaining real‑time streaming and event systems (WebRTC, Websockets, Kafka, or similar).
• Strong experience designing and securing cloud infrastructure using AWS (preferred), GCP, or Azure.
• Hands‑on experience with infrastructure‑as‑code tools (Terraform, Ansible) and container orchestration (Kubernetes).
• Strong knowledge of distributed systems principles, replication, consensus, partition tolerance, fault recovery.

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