Design and build large-scale distributed software platforms
Write production-quality code for core services, APIs, platform components, and reference implementations
Architect cloud-native systems using Kubernetes, containers, networking, load balancing, observability, CI/CD, and modern deployment patterns
Build secure, scalable, resilient, and observable software for enterprise-grade environments
Design API-first and headless platform capabilities for applications, integrations, automation, and AI agents
Implement security patterns for identity, authorization, API access, tenant isolation, service communication, policy enforcement, and auditability
Design and build AI-native and agentic system capabilities, including secure tool invocation, model integration, context management, retrieval, and workflow automation
Evaluate and apply open-source, commercial, cloud-native, and AI-assisted development technologies
Debug, optimize, harden, and scale complex systems in real production environments

Extensive experience designing, building, deploying, and operating large-scale distributed systems
Strong hands-on software engineering ability with current production coding skills
Experience with cloud-native platforms, SaaS products, headless/API-first systems, or enterprise platform software
Deep understanding of APIs, services, data flows, eventing, orchestration, caching, resilience, security, and production operations
Experience with Kubernetes, containers, cloud infrastructure, networking, CI/CD, observability, and deployment automation
Strong understanding of enterprise security and integration requirements
Familiarity with AI-native and agentic software patterns
Demonstrated ability to use modern AI-assisted development tools to increase engineering velocity
Ability to operate across architecture, code, infrastructure, security, deployment, and runtime behavior

Principal Architect

Key skills