Senior Software Engineer, Backend

MeckaNew York, NY
$180,000 - $250,000

About The Position

Mecka AI is building the data infrastructure layer for robotics and embodied AI. We partner with leading AI labs and robotics companies to deliver high-quality, real-world datasets used to train, evaluate, and deploy robotic systems — where model performance is dictated by data quality. We are hiring a Senior Backend Engineer to build the systems that ingest, process, store, and serve petabyte-scale video and sensor data. This is a true senior role. You will own architecture and reliability for production services that operate at extreme scale: heavy cloud networking, distributed GPU compute (thousands of GPUs), millions of GPU-hours, and massive video pipelines. Ideal background: backend systems for video services (e.g., YouTube, Twitch, Netflix, TikTok, video ads/streaming, CDN/edge video, large-scale media processing).

Requirements

  • 7+ years of backend/software engineering experience (or equivalent impact).
  • Strong system design fundamentals and proven experience operating production systems.
  • Excellent debugging and operational judgment (you can find the root cause, not just patch symptoms).

Nice To Haves

  • You have built backend systems for video/media at scale (streaming, transcoding, processing, storage, CDN/edge, ingestion, metadata/search).
  • You think in terms of failure modes, invariants, and clean interfaces.
  • You write maintainable systems with crisp docs and strong ownership.

Responsibilities

  • Design and build high-throughput services for upload/ingest, processing, indexing, retrieval, and access control.
  • Build APIs and internal primitives that make large datasets usable for research, labeling, QA, and model training.
  • Own service quality end-to-end: correctness, latency, uptime, capacity planning, and cost.
  • Build observability (metrics/logs/tracing), incident response, and operational tooling that prevents recurring failures.
  • Build systems that coordinate large jobs across cloud infrastructure and GPU fleets.
  • Make data movement reliable and fast: storage I/O, network throughput, queuing, retries, idempotency, and backpressure.
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