Build the backend that powers petabyte-scale robotics datasets and the training pipelines that depend on them.
Posted by employer 4 months ago
First seen on Joblaze 4 hours ago
Last verified on the company career page 4 hours ago
What you'll build
- 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.
Must have
- 7+ years of backend/software engineering experience
- Strong system design fundamentals
- Proven experience operating production systems
- Excellent debugging and operational judgment
Nice to have
- Built backend systems for video/media at scale
- Think in terms of failure modes, invariants, and clean interfaces
- Write maintainable systems with crisp docs and strong ownership
AI in the day-to-day
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process.
Requirements
- Experience
- 7+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Backend Engineer at Mecka AI will focus on developing and maintaining systems that handle massive volumes of video and sensor data, ensuring high throughput and reliability. Key skills include expertise in backend systems for video services and strong system design fundamentals, particularly in cloud networking and distributed computing. This position is ideal for seasoned engineers with over seven years of experience who have a background in large-scale media processing. The role offers significant ownership and impact on the infrastructure that supports advanced robotics and AI training.
Joblaze insights
Quick facts
- How much experience is required?
- At least 7 years of relevant experience for this Senior Software Engineer, Backend role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: API, Cloud, Data, GPU, Video.
- What seniority level is this role?
- Mecka AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer, Backend role at Mecka AI.
From the original posting
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.
Standard company text repeated across Mecka AI's postings is omitted here.