PROJECT-BASED OPPORTUNITY | AI Infrastructure Engineer — $100/HR Remote Contract
Compensation: $100/hour
Contract: 3 months
Minimum: 20 hours/week
Expected start: Next week
Registration / Application: APPLY
If you have strong experience in Azure, OpenTelemetry, Python, Node.js, cloud security, observability, and data pipelines, this project could be a strong match.
The position is designed for an experienced engineer who can take a technical design and independently turn it into a working production system.
Because the expected start date is next week, qualified candidates are encouraged to register as soon as possible.
Project Details
This project focuses on building infrastructure that captures AI coding-agent traces, processes the telemetry securely, removes sensitive information, and provides a sanitized dataset that can be reviewed through a secure interface.
The engineer will own the implementation from beginning to end.
The project covers:
Endpoint trace collection
OpenTelemetry infrastructure
OTLP telemetry export
Azure ingestion
PII detection
Secret detection
Data redaction
Data tokenization
Sanitized data storage
Trace querying
Read-only trace visualization
Task-to-session-to-trace correlation
This is not simply a backend development assignment. It combines software engineering, cloud infrastructure, observability, data engineering, privacy engineering, and AI infrastructure.
What Will You Build?
The selected engineer will help create a complete telemetry pipeline capable of collecting agent activity from developer environments and securely processing the resulting data.
The architecture starts at the developer endpoint and continues through cloud ingestion, privacy scrubbing, storage, and visualization.
OpenTelemetry Capture Pipeline
One of the first responsibilities is establishing the OpenTelemetry capture path.
This includes configuring:
Endpoint environment variables
.bashrcconfigurationOTLP export
OpenTelemetry collectors
Receivers
Processors
Exporters
Spans
Traces
Semantic conventions
Hands-on experience with OpenTelemetry is therefore an important part of the project.
Candidates should understand how telemetry moves from an endpoint into a centralized observability or data platform.
Azure Ingestion and Processing
The central processing layer will be implemented using Azure services.
The engineer will work with Azure PaaS technologies to build a reliable ingestion and processing pipeline.
Relevant Azure technologies include:
Azure Container Apps
Azure Kubernetes Service (AKS)
Azure API Management
Azure Data Explorer / Kusto
Application Insights
Azure Data Lake Storage Gen2
Azure Blob Storage
Azure Key Vault
Microsoft Entra ID
Experience with multiple Azure services is highly valuable because the engineer will need to connect infrastructure components into a complete production workflow.
Privacy Scrubbing Is a Core Requirement
One of the most important aspects of this project is data privacy.
Telemetry generated by developer tools can potentially contain sensitive information. The pipeline therefore needs to detect and remove secrets and personally identifiable information before the data reaches reviewers.
The engineer will help implement privacy controls involving techniques such as:
Regex-based detection
Secret detection
PII identification
Redaction
Tokenization
Entropy-based detection
Sensitive-data filtering
The privacy layer must be treated as a fundamental part of the architecture rather than something added after the pipeline has already been built.
Sanitized Data and Trace Viewer
After sensitive information has been detected and removed, the processed data needs to be stored in a queryable environment.
The project also requires a read-only trace viewer.
An important part of the implementation is maintaining relationships between:
Task → Session → Trace
This correlation allows reviewers to understand trace activity while working exclusively with sanitized data.
The engineer will therefore contribute across the entire data lifecycle rather than focusing on only one individual component.
Required Experience
This project is targeted at experienced engineers with a strong production engineering background.
Candidates should have:
5+ years of software, platform, or data engineering experience
Experience shipping production systems
3+ years of hands-on Azure experience, or comparable major-cloud experience transferable to Azure
2+ years working with observability or telemetry pipelines
Direct OpenTelemetry experience
Strong Python or Node.js skills
Bash scripting experience
Experience with data pipelines
Understanding of cloud security
Understanding of RBAC
Knowledge of private networking
Experience with audit and security controls
Practical data privacy experience
A Bachelor's degree in Computer Science, Engineering, or a related discipline is preferred, although equivalent practical experience can also be relevant.
Core Technologies
The primary technical stack revolves around three key areas.
Python
Strong Python development experience is required for building automation, processing logic, integrations, or supporting components within the pipeline.
Node.js
Node.js experience is valuable for backend services, integrations, APIs, and other components of the telemetry infrastructure.
Azure
Azure is a major part of the project.
Engineers should be comfortable working with cloud-native services and designing secure production architectures.
OpenTelemetry Skills Matter
OpenTelemetry is particularly important for this opportunity.
Candidates should be comfortable working with concepts such as:
OTLP
OpenTelemetry Collector
Receivers
Processors
Exporters
Traces
Spans
Semantic conventions
Telemetry pipelines
If you have previously built observability pipelines or integrated OpenTelemetry into production systems, this project may be especially relevant.
Ideal Candidate Profile
The ideal candidate is someone who can work independently and take ownership of a technical implementation.
You may be a strong fit if you are a:
Software Engineer
Platform Engineer
Data Engineer
Cloud Engineer
DevOps Engineer
Observability Engineer
Backend Engineer
AI Infrastructure Engineer
The project particularly favors engineers who can move between application code, cloud infrastructure, data pipelines, and security requirements.
Nice-to-Have Skills
Additional experience can strengthen your profile.
Useful background includes:
Grafana
Telemetry backend configuration
LLM observability
GenAI infrastructure
AI agent monitoring
Cross-cloud identity federation
Microsoft Entra ID
GCP IAM
Cloud security architecture
Experience with AI agents or GenAI observability is especially relevant because the project involves telemetry generated by modern AI coding workflows.
Compensation and Contract Details
The project offers a compensation rate of:
$100 per hour
The engagement is structured as a contractor assignment.
Key details:
Compensation: $100/hour
Contract duration: 3 months
Expected start: Next week
Minimum commitment: 20 hours/week
Daily commitment: At least 4 hours
Timezone overlap: 4 hours with PST
Work arrangement: Fully remote
Employment type: Contractor assignment
Paid medical/leave benefits: Not included
Location requirement: North America
The combination of a high hourly rate, remote work, and a defined 3-month project makes this an opportunity worth reviewing for experienced engineers.
Fast Application Recommended
The expected start date is next week, so this should be treated as a time-sensitive project opportunity.
If your background matches the Azure, OpenTelemetry, Python, Node.js, and data engineering requirements, it is recommended that you prepare your profile and submit your registration early.
Registration / Application: APPLY
Candidates should make sure their profile clearly highlights relevant experience with Azure, OpenTelemetry, cloud infrastructure, observability, data pipelines, privacy engineering, and production systems.
Interview Process
The evaluation process is relatively short and takes approximately 30 minutes.
There is one interview covering:
Technical experience
Engineering approach
Cultural fit
Candidates should be prepared to discuss previous projects involving cloud platforms, telemetry, production systems, security, and data processing.
Why This Project Is Interesting
The project sits at the intersection of several rapidly growing areas of technology.
Instead of working exclusively on a conventional web application, the engineer will be involved in building infrastructure around AI agent telemetry and observability.
The combination of:
Azure + OpenTelemetry + Data Engineering + Privacy + AI Infrastructure
makes this a technically specialized project.
It can be particularly attractive to engineers who want their next project to involve modern AI infrastructure rather than traditional application development alone.
Explore More Remote Technology Opportunities
If you are actively searching for technology roles, you can also explore remote qa jobs and other remote opportunities covering software development, QA, testing, engineering, and related technical fields.
Keeping an eye on different remote job categories can help developers discover both short-term projects and longer-term opportunities.
Final Thoughts
This Project-Based Software, Platform & Data Engineer opportunity is aimed at experienced engineers who can independently build production-grade infrastructure.
The project combines Azure cloud services, OpenTelemetry, Python, Node.js, telemetry pipelines, privacy scrubbing, data security, and AI agent observability.
With compensation of $100/hour, a 3-month contract, and an expected start next week, the opportunity may be particularly appealing to North America-based engineers with the required technical background.
If you have the relevant experience, don't wait until the last minute to register.
Project-based opportunities with specialized cloud and AI infrastructure requirements can move quickly, so early application is recommended.
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