Zenity Series B
Forward Deployed Engineer
Seattle On-site $190K-$220K Mid (3-5 yrs) Added Jun 30
About the role
As a Senior Forward Deployed Software Engineer, you partner directly with Zenity's most strategic customers. It is a deeply technical role that blends software development, solution architecture, and hands-on customer engagement.
You will work onsite at Microsoft, embedded with their engineering teams, untangling complex technical challenges, accelerating deployments, and shipping enterprise-grade solutions on top of the Zenity platform. A core part of the mission is extending Zenity onto new platforms, including Azure AI Foundry and Microsoft Fabric, and reducing friction between Microsoft's engineering teams and Zenity.
What You'll Do: Build production-grade solutions, integrations, and customer-specific capabilities for strategic enterprise deployments. Extend Zenity's detections onto new platforms including Azure AI Foundry and Microsoft Fabric. Build backend services, APIs, and automation workflows. Support Microsoft's infrastructure and engineering teams in deploying Zenity's newest features. Test and validate Zenity's detections across new platforms and LLM features inside Microsoft tenants. Work onsite as the technical face of Zenity with Microsoft's engineering, security, and platform teams.
Requirements: 5+ years of professional software engineering experience. Hands-on experience building with AI coding agents (Claude, Cursor). Strong backend expertise in Python, Go, Node.js, or Java. Experience designing and operating distributed systems and enterprise-scale applications. Experience with at least one major cloud platform (AWS, Azure, or GCP). Azure is a strong plus.
Compensation: $190,000–$220,000 base salary plus equity and full benefits. Hybrid role based in Seattle, WA, onsite at Microsoft.
Industry
AI Security / Agentic AI Governance
Top skills for this role
- AI agent security and enterprise deployment at Microsoft scale
- 2. Azure/Microsoft 365 platform engineering
- 3. Production-grade backend engineering in complex enterprise environments
Languages
PythonGoNode.jsJava
Frameworks & tools
AWSAzureGCPMicrosoft 365Azure AI Foundry
AI / ML skills
AI agentsagentic AI securityLLM securityenterprise AI governance
Customer skills
On-site enterprise deployment at Microsoft,technical stakeholder management
Domain knowledge
AI security,enterprise IT,AI governance,Microsoft/Azure ecosystem
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