Fullstack Developer - Drone

Core Required Skills

A. Software Engineering

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

  This is core to AMIE’s value chain.

  Microsoft Teams / M365 Integration (Code-First)

  Required:

• 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