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