Principal Architect

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience: We are seeking a Principal Software Architect who is also a hands-on, high-output software engineer. This role is for someone who has designed, built, deployed, and operated large-scale systems — and who can still personally write the software required to make complex architectures real. This is not a traditional enterprise architect position. We need a builder-architect who can move from system design to code to deployment, with deep experience in distributed systems, cloud-native platforms, API-first/headless architecture, security, enterprise integration, and AI-native software patterns. The ideal candidate is highly current with modern development practices and knows how to use today’s AI-assisted engineering tools to accelerate delivery while maintaining strong architectural quality, security, and operational discipline. What You'll Actually Be Doing: 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. You're Our Person If: 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. Even Better If: You are an architect who still builds. You have delivered serious systems in production and can still write the code yourself. You understand distributed systems, cloud infrastructure, security, APIs, data flows, and enterprise software realities. You are current with modern AI-assisted engineering tools and can use them to