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.
Key Responsibilities
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.
Key Responsibilities
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.
Requirements:
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.
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.
This position is open to all candidates.
