Fullstack Developer - C#, Python
Apptad Inc.
Houston, TX, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Adobe InDesign
Application Programming Interfaces (APIs)
Agile Methodology
Artificial Intelligence
Application Performance Management
Microsoft Azure
C Sharp (Programming Language)
Cloud Engineering
Cloud Storage
Continuous Integration
Event-Driven Programming
Python (Programming Language)
+18 more
Key Management
Log Analysis
Machine Learning
Scrum Methodology
Azure DevOps Pipelines
Software Engineering
SQL Databases
Systems Integration
Data Logging
Backend
Bicep
Api Design
Restful APIs
Terraform
Webhooks
Data Pipelines
Api Management
Serverless Computing
Job 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
Requirements
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
Ways of Working
- Comfortable with Agile / sprint based delivery
- Participates in design reviews, sprint planning, and PR reviews
- Able to co engineer with Microsoft and internal Chevron engineers
Skills Mandatory Skills : C#, Python
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