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Fullstack Developer - C#, Python

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Onsite

Fullstack Developer - C#, Python

LTM

Fullstack Developer - C#, Python

Skills

SQL QueriesPythonC#Data AnalysisMachine LearningAIMicrosoft TeamsTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Houston, TX, USA

Work mode:

Onsite

Published on:

23 September 2026

What they need


Role Description 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

  • 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
  • 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.

  • 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.

  • 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

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