Required Skills: C#, Python
Job Description
Fullstack Developer - C#, Python
Required seniority:
•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
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