Test Environment Engineer (Linux / Ubuntu) – AI Startup
Budget: $15 – $25 USD
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We are a new AI startup building cutting-edge systems and tooling. We move fast, build fast, and test aggressively.
We are looking for a Test Environment Engineer to help manage and troubleshoot our development environments while working alongside our internal AI coding system (Codex) and the system architect (me).
This is not a passive role. You will be actively managing the test environment while code is being generated and executed in real time.
With the combination of me (the Architect), you (the Test Engineer), and Codex (our AI coder) we can move as fast as a team of ten.
The Environment
Our stack is primarily:
Ubuntu / Linux servers
Python-based AI tooling
GPU compute nodes
Local and cloud compute environments
Rapid experimentation and testing
Codex generates a lot of code, but like any AI coder it needs oversight and guardrails.
For safety and sanity, Codex never touches our real server environment directly.
It runs in a tiny little jail it can’t escape from.
Your job is to manage the real environment and help bridge the gap between Codex’s ideas and reality.
Your Responsibilities
You will be responsible for keeping our development and test environments stable while we iterate quickly.
This includes:
Managing and maintaining Ubuntu / Linux test environments
Monitoring CPU, memory, disk, and GPU performance
Diagnosing script failures and runtime errors
Troubleshooting broken packages, dependencies, and installs
Reviewing code generated by Codex before it reaches the environment
Refreshing and resetting environments when they get messy
Helping guide Codex when it runs into issues
Stepping in manually when Codex produces something broken (which it will)
In many cases the workflow will look like:
Codex generates code
You test and observe behavior
You identify problems
You guide Codex toward a fix
If Codex fails completely — you jump in and solve it
Required Skills
You must be comfortable and proficient with:
Ubuntu / Linux administration
Linux command line tools
Shell scripting basics (bash)
Diagnosing script failures and stack traces
Package management (apt, pip, etc.)
Reading logs and troubleshooting runtime errors
Understanding system performance and resource usage
You should know how to quickly answer questions like:
Why did this script crash?
Why is this package install failing?
Why is the environment behaving differently than expected?
Is this a dependency problem, environment problem, or code problem?
Ideal Experience
Nice to have, but not required:
Python familiarity
AI / ML environments
Docker or containerized environments
GPU compute environments
DevOps style troubleshooting
To show us that you read all the way through... your bid must contain the phrase "DOMO ARIGATO MR ROBOTO" so we know you read all the way.
We are a new AI startup building cutting-edge systems and tooling. We move fast, build fast, and test aggressively.
We are looking for a Test Environment Engineer to help manage and troubleshoot our development environments while working alongside our internal AI coding system (Codex) and the system architect (me).
This is not a passive role. You will be actively managing the test environment while code is being generated and executed in real time.
With the combination of me (the Architect), you (the Test Engineer), and Codex (our AI coder) we can move as fast as a team of ten.
The Environment
Our stack is primarily:
Ubuntu / Linux servers
Python-based AI tooling
GPU compute nodes
Local and cloud compute environments
Rapid experimentation and testing
Codex generates a lot of code, but like any AI coder it needs oversight and guardrails.
For safety and sanity, Codex never touches our real server environment directly.
It runs in a tiny little jail it can’t escape from.
Your job is to manage the real environment and help bridge the gap between Codex’s ideas and reality.
Your Responsibilities
You will be responsible for keeping our development and test environments stable while we iterate quickly.
This includes:
Managing and maintaining Ubuntu / Linux test environments
Monitoring CPU, memory, disk, and GPU performance
Diagnosing script failures and runtime errors
Troubleshooting broken packages, dependencies, and installs
Reviewing code generated by Codex before it reaches the environment
Refreshing and resetting environments when they get messy
Helping guide Codex when it runs into issues
Stepping in manually when Codex produces something broken (which it will)
In many cases the workflow will look like:
Codex generates code
You test and observe behavior
You identify problems
You guide Codex toward a fix
If Codex fails completely — you jump in and solve it
Required Skills
You must be comfortable and proficient with:
Ubuntu / Linux administration
Linux command line tools
Shell scripting basics (bash)
Diagnosing script failures and stack traces
Package management (apt, pip, etc.)
Reading logs and troubleshooting runtime errors
Understanding system performance and resource usage
You should know how to quickly answer questions like:
Why did this script crash?
Why is this package install failing?
Why is the environment behaving differently than expected?
Is this a dependency problem, environment problem, or code problem?
Ideal Experience
Nice to have, but not required:
Python familiarity
AI / ML environments
Docker or containerized environments
GPU compute environments
DevOps style troubleshooting
To show us that you read all the way through... your bid must contain the phrase "DOMO ARIGATO MR ROBOTO" so we know you read all the way.