Lead Cloud Platform Engineer
Falcon Placement Services LLC
We have an exciting opportunity for an Lead Cloud Platform Engineer
Locations: Seattle/ Redmond/ Bellevue, Washington
Work Model: Onsite
Duration: Long-Term Contract
Interview mode: Virtual
Role Summary
The Lead/Architect- Microsoft platform FS +AI will provide technical leadership for the design, development, enhancement, and operation of Microsoft's cloud-based experiment execution platform supporting hybrid Static Application Security Testing (SAST) and AI-assisted security research. This role will lead the expansion of the existing experimentation framework to support an increasing number and diversity of automated security experiments while enabling engineers to rapidly compare the effectiveness, efficiency, and accuracy of multiple hybrid SAST implementations.
Required Skills
- Need 10+ years of experience in cloud platform engineering, distributed systems, or enterprise software development.
- Mandatory expertise developing enterprise-scale cloud-native services on the Microsoft Azure Cloud Platform.
- Mandatory hands-on experience designing, developing, deploying, and supporting containerized workloads running on Azure Batch.
- Mandatory hands-on experience with Azure Data Explorer (Kusto), including KQL development, data ingestion, analytics integration, query optimization, and operational troubleshooting.
- Mandatory experience designing, deploying, and managing Docker-based containerized applications.
- Advanced proficiency in C#/.NET for backend application and service development.
- Advanced proficiency in TypeScript for modern web application and user interface development.
- Mandatory hands-on experience developing, enhancing, and maintaining modern web-based user interfaces using TypeScript and contemporary web technologies.
- Mandatory hands-on experience with PowerShell for infrastructure automation, deployment, operational scripting, and platform administration.
- Mandatory hands-on experience with Python for automation, scripting, API integration, data processing, engineering tooling, and operational automation.
- Mandatory experience developing RESTful APIs, backend services, distributed systems, and cloud-native microservices.
- Mandatory expertise in adopting and applying modern LLM-assisted software development practices, including the effective use of AI-powered development tools (e.g., GitHub Copilot, Azure OpenAI, ChatGPT, or equivalent) to improve software quality, engineering productivity, code generation, testing, debugging, and solution delivery.
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Vacancy posted 1 day ago
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