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LTM

Houston / Global

Full Stack Developer

Job 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 systemsCore Required SkillsA. Software EngineeringStrong proficiency in Python and/or C#Experience designing and implementing REST APIsAbility to own code from design deployment production supportComfortable working in a multi‑repo, CI/CD‑driven environmentB. Cloud‑Native Azure EngineeringHands‑on experience with multiple of the following is required:Azure App Service and/or Azure Container AppsAzure Functions / Durable FunctionsAzure Blob Storage, ADLS, and SQL‑based storageAzure Key Vault, Managed Identity, API authenticationLogging 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 & OrchestrationDesigning long‑running, stateful workflowsHandling retries, failures, idempotency, and external dependenciesOrchestrating interactions between services and external APIsAMIE mission scheduling, execution tracking, and data pipelines depend on this.D. API & System IntegrationIntegrating with external vendor APIs (e.g., robotics, Skydio, Boston Dynamics)Experience with event‑driven or message‑based integrationsUnderstanding of security, throttling, and API lifecycle concernsAI / 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 outputsManaging data pipelines for images, metadata, and resultsInvoking inference services and handling results programmaticallyUnderstanding separation between model training vs. inference executionThis is core to AMIE’s value chain.Microsoft Teams / M365 Integration (Code‑First)Required:Experience building Teams bots, agents, or integrationsWorking with APIs, webhooks, or declarative agent frameworksEvent‑driven interactions between Teams and backend servicesWays of WorkingComfortable with Agile / sprint‑based deliveryParticipates in design reviews, sprint planning, and PR reviewsAble to co‑engineer with Microsoft and internal Chevron engineers

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