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# Senior FullStack .Net with C# and Python

- **Company:** VDart, Inc.
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Cloud Storage, Computer Programming, Continuous Integration, Event-Driven Programming, Python (Programming Language), Key Management, Log Analysis, Machine Learning, Azure DevOps Pipelines, Software Engineering, SQL Databases, Systems Integration, Data Logging, Cloud Platform System, Backend, Bicep, Api Design, Restful APIs, Terraform, Webhooks, Data Pipelines, Api Management, Serverless Computing
- **Published:** August 18, 2026
- **Apply:** https://www.careerjet.com/jobad/usa81724857c0bffe9a3a881f0f4be57ff

## About the Role

* Senior Software Engineer or Staff level Software Engineer around 8-10 years of experience.
 * Must have hands on coding experience in production cloud systems

Core Required Skills:
A. Software Engineering

 * Strong proficiency in Python and/or C#
 * Experience designing and implementing REST APIs
 * Ability to own code from design deployment production support
 * Comfortable working in a multi repo, CI/CD driven environment, * Experience building Teams bots, agents, or integrations
 * Working with APIs, webhooks, or declarative agent frameworks
 * Event driven interactions between Teams and backend services

Skills:
Mandatory Skills : C#, Python

## Description

B. Cloud Native Azure Engineering
Hands on experience with multiple of the following is required:

 * Azure App Service and/or Azure Container Apps
 * Azure Functions / Durable Functions
 * Azure Blob Storage, ADLS, and SQL based storage
 * Azure Key Vault, Managed Identity, API authentication
 * Logging and monitoring (Application Insights, Log Analytics)
 * Infrastructure as Code (Bicep, ARM, or Terraform)
 * Azure DevOps pipelines (build, release, PR reviews)

This aligns directly with AMIE's deployed and planned architecture.
C. Distributed Workflow & Orchestration

 * Designing long running, stateful workflows
 * Handling retries, failures, idempotency, and external dependencies
 * Orchestrating interactions between services and external APIs

AMIE mission scheduling, execution tracking, and data pipelines depend on this.
D. API & System Integration

 * Integrating with external vendor APIs (e.g., robotics, Skydio, Boston Dynamics)
 * Experience with event driven or message based integrations
 * Understanding of security, throttling, and API lifecycle concerns

AI / Data Adjacency (Required Awareness)
The engineer does not need to build ML models, but must be comfortable integrating them:

 * Working with CV/ML inference inputs and outputs
 * Managing data pipelines for images, metadata, and results
 * Invoking inference services and handling results programmatically
 * Understanding separation between model training vs. inference execution


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