Senior Backend Engineer - Workforce AI Security Core

Company Description

We are building a next-generation Workforce AI Security platform that helps enterprises manage, secure, and govern AI-powered products at scale. We are looking for a Senior Backend Engineer to join the core backend team and own foundational services used across the platform. The role is focused on production-grade backend engineering, distributed systems, APIs, reliability, and clean, maintainable design.

Job Description

• Design, build, and own backend services from design to production. 
• Build secure, scalable APIs and microservices for core platform capabilities.  
• Work on domains such as policy flows, identity/authentication, tenant and license management, client/agent services, MCP protection, analyzers, and business-logic services.
• Design reliable flows for service-to-service communication, caching, background processing, data persistence, and multi-region production environments.
• Participate in architecture discussions and improve system design, performance, security, reliability, and observability.
• Write clean, maintainable, well-tested code and take ownership of delivery quality. 
• Collaborate closely with product, architects, frontend, DevOps, security researchers, and other engineering teams.
• Troubleshoot production issues and contribute to strong engineering standards and best practices.
• Own backend data-platform capabilities, including event schemas, ingestion pipelines, and reusable query layers for high-volume, multi-tenant product analytics.

Qualifications

• 6+ years of hands-on software development experience, with strong backend ownership.
• Strong proficiency in Python and backend frameworks such as FastAPI or similar.
• Solid experience designing REST APIs, backend services, and production SaaS/cloud-native systems.
• Good understanding of distributed systems, asynchronous processing, caching, data modeling, and service-to-service communication.
• Experience with relational databases, preferably PostgreSQL, including schemas, migrations, ORMs, and performance considerations.
• Experience with Redis or similar caching/message-oriented infrastructure.
• Knowledge of Git, CI/CD, Docker, Kubernetes-based deployment, and cloud platforms such as AWS.
• Strong debugging skills, practical production mindset, independent ownership, and effective collaboration.
• Strong hands-on experience with Azure Data Explorer (ADX) and Kusto Query Language (KQL), including data modeling, ingestion, KQL functions, and performance-conscious query design.