Software Engineer (SWE), Delivery Ops

Mecka; Richmond Hill; On-site; CAD 150,000 - 200,000; Full time

Job summary

Mecka AI, a leader in data infrastructure for robotics and embodied AI, is seeking a Delivery Ops engineer in Canada to build scalable pipelines for millions of video episodes and customer-specific specs.

You will automate gates, manage exports, and maintain the delivery ledger while shipping lightweight internal tools. 3–6+ years in data pipelines and backend systems preferred.

Qualifications

• 3 to 6+ years building production data pipelines or backend systems.
• Strong Python and SQL; comfortable with document stores and analytical databases at the scale of millions of rows.
• Experience moving large media files through cloud object storage reliably.
• Enough frontend skill to ship a usable internal tool without a designer.

Responsibilities

• Pool pulls: Build pipelines that turn a customer spec into a filtered, reproducible episode list.
• Ship gates: Automate the checks every episode must pass before shipping and make failures easy to trace.
• Packaging and transfer: Own export to customer formats and storage, with manifests and checksums, and re-delivery support.
• Delivery ledger: Maintain the source of truth for what shipped and the dashboards/reports built on it.
• Internal tools: Ship lightweight web tools (sample viewers, review pages, report generators) that the delivery team uses daily.

Skills

Python

SQL

Data pipelines

Backend systems

Frontend basics

Tools

FFmpeg

Cloud storage

ETL tools

Job description

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.

We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.

We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

About Delivery Ops

Delivery Ops turns raw captures into datasets customers can train on. We pull and filter episodes against each customer's spec, run every ship gate (quality, privacy, exclusivity, labels), package and ship the data, and report on what was delivered. As volumes grow into hundreds of thousands of hours per program, the team also owns showing the field what this data looks like and why it matters.

About The Role

Every delivery is a pipeline problem: millions of episodes, terabytes of video, and a customer spec that changes per program. You will build the systems that let a small team ship at that scale, so a delivery that takes a week today takes an afternoon.

What you'll do

Pool pulls

Build pipelines that turn a customer spec (hours, diversity mix, formats, label levels) into a filtered, reproducible episode list.

Ship gates

Automate the checks every episode must pass before shipping (quality, privacy blur, bans, exclusivity, label integrity) and make failures easy to trace.

Packaging and transfer

Own export to customer formats and storage, with manifests, checksums, and re-delivery support.

Delivery ledger

Maintain the source of truth for what shipped to whom, and the dashboards and reports built on it.

Internal tools

Ship lightweight web tools (sample viewers, review pages, report generators) that the delivery team uses daily.

What you bring

• 3 to 6+ years building production data pipelines or backend systems.
• Strong Python and SQL; comfortable with document stores and analytical databases at the scale of millions of rows.
• Experience moving large media files through cloud object storage reliably.
• Enough frontend skill to ship a usable internal tool without a designer.

Even better if you have

• Video processing experience (FFmpeg, frame extraction, codecs).
• Experience with robotics, computer vision, or ML training datasets.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.

Compensation Range: $150K - $200K