About the role
Mytra is looking for a Senior Data Software Engineer to build the data platform that the rest of our software reads from.
Every robot and station puts out about 2 MB/s of telemetry and uploads a 60 MB recording every couple of minutes, roughly 6 to 8 GB per edge component per hour.
We're designing for 10,000+ storage cells a site, across many sites.
Our control plane records every job, fault, and operator action.
We require a system that unifies, aggregates, and transforms this data; as well as unlocking the power of our data for downstream insights.
This includes the services that pull data off the wire, the stores it lands in, the ID keying that lets you join across sources, and the pipeline machinery that turns raw capture into the tables products and agents read.
Your services will run inside customer facilities, cloud facilities, be durable for multi-day network outages, and enforces each customer's rules for data egress.
As much of the services are not built, you will also have the opportunity to architect your solution from the group up.
What you'll do:
Design the data capture lanes, storage tiers, and pipeline layout
Re-design the ingestion service with something that scales
Build the transform machinery.
You own the engine and what it guarantees; the team writes the transforms that run on it.
Build the durable path for what the system does and has to remember
Build the ID keying and crosswalk tables that connect a stored fact to its site, robot, hardware revision, calibration, layout, and pallet
Own retention, cost, and egress as policy instead of plumbing.
Retention policies per record and the site-to-cloud replication path.
Run what you build.
These services run in our cloud and inside customer sites, so you own their CI/CD, monitoring, and alerting.
Ideal Candidates
5+ years building and running production backend or data infrastructure
You've written production code in Go, Python, Rust,



Java or C++
You've worked with a durable message or streaming system (NATS/JetStream, Kafka, Pulsar, or similar) and know how delivery guarantees, backpressure, and replay actually behave
You've used a columnar store, relational databases, and No-SQL databases in production and you have a strong understanding of how trade offs work in these technologies when used in data solutions
You've shipped services and kept them running: CI/CD, monitoring, alerting, and being on the hook when they break
You've designed schemas or data contracts that had to survive change
BS/MS in Computer Science, or the equivalent from having done the work
You've built and run data services yourself; whether ingestion, CDC, or event pipelines, rather than writing jobs on top of someone else's platform
You know how columnar stores like ClickHouse and object-storage lakes like Parquet or Iceberg work, and have opinions about which belongs where.
Schema governance, failure modes, and cost are design inputs for you, not afterthoughts.
Uncertainty isn't scary, and you're willing to realize mistakes and pivot
You can convey complex ideas and technical concepts to a diverse audience
Openness, inquisitiveness, and constant ambition are important values
You enjoy collaborative working and taking time to help others
You seek and value ownership, accountability, and taking on responsibility
Nice to have:
Experience with robotics, IoT, or industrial telemetry at volume, including formats like MCAP
GCP (GCS, BigQuery/BigLake), Kubernetes,



and data systems run on-prem, at the edge, or air-gapped, where you can't lean on a cloud service being reachable
Prep the data store for ML or RL training to read directly
Prometheus and Grafana experience as a consumer of the data pipeline
A Final Note:
If this role excites you, we encourage you to apply — even if you don't check every box.
At Mytra, we build bots, but we hire humans.
We value thoughtful challengers who communicate with clarity and respect, and we're lifelong learners committed to getting better every day.
We move fast, learn faster, and show up for each other under pressure.
The best outcomes come from diverse perspectives working together to build something meaningful and built to last
Benefits Include:
Competitive compensation and equity grants at a high-growth company backed by top-tier VCs
Fully subsidized health coverage, including medical (baseline plans), dental, and vision for employees and dependents
401(k) plans and employer-subsidized life insurance
Fully subsidized lunch and snacks at HQ—we eat and share stories together at the "long" table
Generous PTO and company-paid holidays, including one week over the winter break so everyone can recharge together
Voluntary pet insurance, Voluntary Life Insurance, Accident, Critical Illness, and Hospital Indemnity
Fully subsidized tax advisory services and education to help you understand your equity
Commuter perks, including a up to $150 monthly commuter benefit
Lively, modern combined office and lab space where we rapidly iterate through design, build, and test phases
Fully equipped onsite gym and showers at headquarters
Pay Notice
Compensation for this position will be set based on the candidate's experience level and location.
The posted salary band is applicable only to the San Francisco Bay Area and is subject to change.

📌 Senior Data Engineer (Brisbane)
🏢 Mytra
📍 Brisbane