Software Engineer (SWE), Delivery Ops

Mecka
New York +2 more
Hybrid

Who this role is best for

Aimed at mid-level to senior backend engineers with data pipeline experience who can automate complex workflows and build internal tools.

Best fit for

  • Mid-level to senior backend engineers with experience in data pipeline automation and cloud storage systems
    — “3 to 6+ years building production data pipelines or backend systems”
  • Candidates who have built internal tools and can translate customer specs into scalable systems
    — “Ship lightweight web tools (sample viewers, review pages, report generators) that the delivery team uses daily”
  • Individuals with strong analytical skills and comfort with large-scale data systems
    — “comfortable with document stores and analytical databases at the scale of millions of rows”

Things to consider

  • The role demands handling large media files and cloud storage operations reliably
    — “Experience moving large media files through cloud object storage reliably”

How to stand out

  • Highlight experience with scalable data systems and how you've automated complex pipelines
    — “Every delivery is a pipeline problem: millions of episodes, terabytes of video, and a customer spec that changes per program”
  • Demonstrate your ability to manage large-scale data operations and reproducible filtering systems
    — “Build pipelines that turn a customer spec (hours, diversity mix, formats, label levels) into a filtered, reproducible episode list”
  • Emphasize your ability to trace and resolve failures in automated systems
    — “Automate the checks every episode must pass before shipping ... and make failures easy to trace”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • efficient data delivery systems
  • reliable data processing pipelines
Typical background
experience in backend systemsknowledge of data pipelines

Skills & requirements

Required

Data Pipeline DevelopmentPythonSQLCloud Object StorageVideo Processing

Preferred

RoboticsComputer VisionMachine Learning

Stack & domain

Production Data PipelinesBackend SystemsPythonSQLDocument StoresAnalytical DatabasesCloud Object StorageVideo ProcessingFfmpegFrame ExtractionCodecsRoboticsComputer VisionML Training DatasetsProblem-solvingTeamworkCommunicationAttention To DetailInnovationAdaptabilityData InfrastructureEmbodied AIData LabelingHardware-enabled WorkflowsAI LabsRobotics CompaniesHumanoid And Embodied AI Systems

About the role

Original posting from Mecka via Ashby

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.

If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.

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.

Source: Mecka careers (Ashby)

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