Senior Software Engineer, Backend
Dónde está disponible este puesto
Plegado de forma predeterminada para que la descripción sea fácil de leer.
- New York, Estados Unidos
- New York City, Estados Unidos
Resumen del puesto por JobGrid
Senior Software Engineer, Backend at Mecka.Ai: New York, Estados Unidos, New York City, Estados Unidos; Presencial; Senior; Tecnología; Ingeniería Back End. This listing is part of JobGrid's Empleos de software engineer en páginas de empresas. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: New York, Estados Unidos, New York City, Estados Unidos, Presencial
- Role classification: Tecnología, Ingeniería Back End, Senior
- Source freshness: checked by JobGrid on 2026-06-02.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About Mecka AI
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.
The Role
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).
What You’ll Work On
Video + Data Platform Backend
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.
Scale, Reliability, and Quality
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.
Distributed Compute + Networking
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.
Who You Are
Required Background
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).
Strong Signals
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.
Why This Role
Build the backend that powers petabyte-scale robotics datasets and the training pipelines that depend on them.
Operate at a scale that forces great engineering: data volume, networking, reliability, and compute orchestration.
High ownership and direct impact across product, operations, and research.