Sr Software Developer Associate

Quantech Services-posted 17 days ago
$150,000 - $175,000/Yr
Full-time • Mid Level
Onsite • Los Angeles, CA
51-100 employees
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The Senior Software Developer is the primary hands-on builder. This role is responsible for the design, coding, and implementation of software components supporting the proprietary Model Context Protocol (MCP) Server Software Development Kit (SDK). This role involves hands-on software development, integration of AI frameworks, and implementation of robust, secure connectors for Microsoft Graph and DAF-proprietary systems.

  • SDK Implementation: Develop, test, and maintain software modules supporting the proprietary MCP Server SDK (Task 1), creating reusable libraries for future integration.
  • Connector Coding: Implement and optimize code for data integration with Microsoft Teams, SharePoint, and OneDrive (using MS Graph API).
  • Prototype Development: Develop the proof-of-concept connector code for PMRT/CCaR (Task 2) based on the Systems Engineer's analysis.
  • DevSecOps: Implement CI/CD pipelines and version control protocols to support efficient updates and configuration management within the Azure environment.
  • Optimization: Identify performance bottlenecks and apply software optimization and debugging techniques.
  • Cloud Configuration: Provision and configure the secure Azure Development Environment (App Service, SQL Database, VPN).
  • Experience: Approximately 10 years of software development experience, with demonstrated proficiency in API and backend service development
  • Technical Skills: Strong programming skills in modern languages such as Python, TypeScript/Node.js, or C#. Familiarity with RESTful API design, JSON, and other common interface standards
  • Cloud Expertise: Experience developing APIs and integrations in cloud or hybrid environments (specifically Microsoft Azure and Azure OpenAI)
  • Education: Bachelor's degree in Computer Science, Software Engineering, or a related field
  • Experience developing APIs and AI/ML integrations in cloud or hybrid environments (AWS, Azure, or GCP)
  • Familiarity with model orchestration, data pipeline frameworks, and AI agent tools
  • Understanding of software security, data governance, and compliance practices
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