Associate Principal Software Engineer, Cloud & Edge Backend

Team: Software Engineering

Location: Milpitas, California, Vancouver

Commitment: Full-Time

Workplace Type: hybrid

Salary:

WHAT YOU WILL BE DOING

• Architect and build the next-generation AI Security platform for enterprise identity and privileged access.

• Design and develop highly scalable microservices in Go (Golang) that power the Cloud Control Plane and distributed Edge Backends.

• Build the Cloud Control Plane responsible for policy management, AI governance, discovery orchestration, analytics, reporting, and APIs.

• Build distributed Edge Backends that operate as local Points of Presence (PoPs) for headquarters, regional hubs, branch offices, and customer data centers.

• Design resilient policy synchronization from Cloud → Edge → Endpoint with secure fail-closed enforcement during connectivity failures.

• Build enterprise-scale discovery services for cloud resources, on-prem infrastructure, endpoints, applications, databases, and AI agents.

• Develop access-brokering capabilities that enable privileged access to applications, machines, and services through local Edge Backends.

• Design highly available, observable, and resilient distributed systems using modern cloud-native technologies.

• Mentor engineers, lead architecture discussions, and drive engineering best practices.

AI & Agentic Engineering

• Leverage AI-assisted software development throughout the SDLC to improve productivity, code quality, testing, documentation, and operational excellence.

• Build platform capabilities to discover, govern, and secure AI agents, automation frameworks, MCP servers, and agentic applications.

• Develop scalable services supporting AI-native enterprise workloads.

• Follow AI SDLC best practices across design, implementation, testing, deployment, and operations.r

WHAT YOU BRING

• 1+ years at a Associate Principal level of backend software engineering experience.

• Expert-level Go (Golang) development.

• Deep experience building distributed systems and microservices.

• Experience with Kubernetes, Docker, gRPC, REST APIs, and cloud-native platforms.

• Experience with PostgreSQL, Redis, Kafka/NATS or similar distributed infrastructure.

• Strong understanding of networking, authentication, authorization, TLS, proxies, and distributed caching.

• Experience building enterprise security, IAM, PAM, Zero Trust, or networking products is highly desirable.

• Hands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.

• Understanding of modern AI application architectures, including LLMs, RAG, AI Agents, orchestration frameworks, and Model Context Protocol (MCP).

• Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, secure coding, CI/CD automation, observability, and responsible use of AI-generated code.

• Strong technical leadership, architecture, mentoring, and communication skills.