Senior Software Engineer, Backend

Mecka AI; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Mecka AI is seeking a Senior Backend Engineer to design systems that handle petabyte-scale video and sensor data. You will own the architecture and reliability for critical production services and ensure high service quality, including latency and uptime.

With 7+ years of experience in backend engineering, you will be responsible for creating high-throughput services, coordinating large compute jobs, and supporting robust data pipelines. Join us to build impactful systems in the field of robotics.

Qualifications

• 7+ years of backend/software engineering experience (or equivalent impact).
• Proven experience operating production systems.
• Strong debugging skills with focus on root cause analysis.

Responsibilities

• Design and build high-throughput services for data ingestion and processing.
• Ensure service quality including correctness, latency, and uptime.
• Coordinate large jobs across cloud infrastructure and GPU fleets.

Skills

Backend systems for video services

Strong system design fundamentals

Excellent debugging

Operational judgment

Job description

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.