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Senior Full Stack Developer (Skydio Drone Platform, Azure, Data & AI)

VDart Inc

Role : Senior Full Stack Developer ( Drone Platform integrations)

Location:Houston ,TX

Position Summary:

We are seeking an experienced Senior Full Stack Developer with expertise in building event-driven microservice solutions across distributed systems, with familiarity in Drone Platform integrations , Azure Cloud , Data Engineering , Databricks , and MLOps . The ideal candidate will be responsible for designing and developing an enterprise-grade drone operations platform that integrates Drone-in-a-Box providers to support mission planning, semi-autonomous flight operations, data analytics, and AI-driven insights. Software integration experience across diverse APIs and providers is crucial for a successful candidate.

This role combines full-stack application development using Angular, .NET, SQL Server, EventGrid, and Azure , with modern data engineering and machine learning operations capabilities leveraging Azure Databricks, Azure Machine Learning, and MLOps best practices .

Key Responsibilities

  • Work with the team to design, develop and maintain enterprise-grade microservices and client-side web applications
  • Work with business users to understand the core problem being solved and continuously integrate feedback into the solution
  • Learn about Chevron drone operations in different facilities

Drone Platform Integration

  • Design and develop integrations with Skydio or other Drone Platform and associated APIs.
  • Build capabilities for:
    • Automated mission creation and scheduling
    • Flight plan management
    • Fleet administration and monitoring
    • Autonomous inspection workflows
    • Media and telemetry data retrieval
    • Drone asset management
  • Create applications that orchestrate drone operations from a custom platform outside the native Skydio interface.
  • Implement secure authentication, authorization, and API management for drone services.
  • Integrate drone-generated data with analytics and reporting systems.

Full Stack Application Development

  • Develop enterprise applications using:
    • Angular/Javascript
    • .NET Core / .NET 8
    • C#/.NET Web API
    • Microsoft SQL Server or equivalent SQL DMS
    • Agile methodology
  • Build responsive web applications and dashboards for:
    • Mission planning
    • Drone fleet operations
    • Flight monitoring
    • Inspection analytics
    • Operational reporting
  • Design and develop RESTful APIs and microservices.
  • Implement scalable, maintainable, and cloud-native architectures.

Database & Data Management

  • Design and optimize SQL Server databases supporting:
    • Flight records
    • Mission history
    • Drone telemetry
    • Inspection results
    • Analytics and reporting
  • Develop data models and ETL processes supporting enterprise-scale drone operations.
  • Ensure data quality, performance optimization, and governance.

Cloud Development

  • Design and implement cloud-native solutions leveraging:
    • Azure App Services
    • Azure Functions
    • Azure API Management
    • Azure SQL Database
    • Azure Storage Accounts
    • Azure Event Grid
    • Azure Service Bus
    • Azure Key Vault
    • Azure Monitor
  • Build scalable, highly available, and secure cloud architectures.
  • Implement Infrastructure as Code (Ansible).
  • Develop and maintain CI/CD pipelines using Azure DevOps or equivalent.

Data Engineering & Databricks

  • Design and develop modern data platforms using Azure Databricks .
  • Build data ingestion pipelines for:
    • Drone telemetry data
    • Images and videos
    • Mission execution data
  • Implement data lake architecture and data governance standards.
  • Optimize data processing and analytics workloads.
  • Develop data products for operational reporting and AI model consumption.

Machine Learning & MLOps

  • Operationalize machine learning solutions for:
    • Asset inspection automation
    • Image analysis
    • Predictive analytics
    • Anomaly detection
    • Flight operation optimization
  • Implement MLOps frameworks using:
    • Azure Machine Learning
    • Databricks ML
    • Python/Pytorch
  • Build execution, orchestration, and monitoring pipelines.
  • Implement model governance, versioning, and lifecycle management.
  • Collaborate with Data Scientists and AI Engineers to productionize AI solutions.

Security & Compliance

  • Apply enterprise security best practices across cloud, data, and application environments.
  • Implement:
    • Microsoft Entra ID
    • RBAC
    • API Security
    • Data Encryption
    • Secure Secrets Management
  • Ensure compliance with enterprise governance and cloud security standards.

Required Qualifications

Education

  • Bachelor's Degree in:
    • Computer Science
    • Software Engineering
    • Information Technology
    • Related Technical Discipline

Technical Experience

  • 8+ years of software development experience.
  • 5+ years of Full Stack Development experience.
  • 3+ years of Azure Cloud development experience.
  • 3+ years of Databricks and Data Engineering experience.
  • Experience building enterprise integrations using REST APIs.
  • Experience building enterprise-grade REST APIs and microservices
  • Experience with integrating computer vision models into software applications
  • Experience implementing security mechanisms such as RBAC, Auth, API Security, etc. in software applications
  • Experience building performant and responsive web interfaces
  • Experience with DevOps CI/CD pipelines

Core Technical Skills

Front-End

  • Angular 14+
  • TypeScript
  • HTML5
  • CSS3
  • RxJS
  • Responsive Application Design

Back-End

  • .NET Core / .NET 8
  • C#
  • ASP.NET Web API
  • RESTful Services
  • Microservices Architecture

Database

  • SQL Server
  • Azure SQL Database
  • T-SQL
  • Data Modeling
  • Query Optimization
  • Performance Tuning

Azure Cloud

  • Azure App Services
  • Azure Functions
  • API Management
  • Azure DevOps
  • Azure Key Vault
  • Service Bus
  • Event Grid
  • Azure Monitor
  • Azure Storage

Data Engineering

  • Azure Databricks
  • Apache Spark
  • PySpark
  • Data Lake Storage Gen2
  • ETL/ELT Pipelines
  • Data Warehousing

Machine Learning & MLOps

  • Azure Machine Learning
  • Databricks ML
  • Model Registry
  • CI/CD for ML
  • Model Monitoring
  • Model Deployment Automation
  • Python for ML Development

Integration Technologies

  • REST APIs
  • GraphQL
  • JSON
  • OAuth 2.0
  • OpenID Connect
  • Event-Driven Architecture
  • Service Bus Messaging
  • API Gateway Patterns

Skydio/Drone Platform-Specific Requirements

Required Experience

  • Experience integrating with the Skydio/Any Drone Platform .
  • Strong understanding of:
    • Mission Management
    • Autonomous Flight Operations
    • Fleet Management
    • Flight Telemetry
    • Inspection Workflows
    • Drone Data Lifecycle Management
  • Experience consuming and managing Skydio APIs.
  • Ability to build custom mission orchestration and drone management solutions.

Preferred Experience

  • Skydio Dock deployments.
  • Autonomous inspection programs.
  • Enterprise drone fleet management solutions.
  • Drone image, video, and telemetry analytics.
  • FAA Part 107 Certification or equivalent drone operations experience.

Preferred Certifications

Microsoft

  • Microsoft Certified: Azure Developer Associate
  • Microsoft Certified: Azure Solutions Architect Expert
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: DevOps Engineer Expert

Databricks

  • Databricks Certified Data Engineer Associate/Professional
  • Databricks Certified Machine Learning Professional

Drone Industry

  • FAA Part 107 Certification
  • Drone Fleet Operations Certification (Preferred)

Vacancy posted 2 days ago
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