Principal Architect

Salesforce•San Francisco, CA

1d•Remote

About The Position

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. Applications will be accepted until 09/25/2026. Please note this position can sit remotely anywhere in the United States

Requirements

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.

Nice To Haves

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 produce high-quality systems faster without sacrificing correctness, security, or scale.

Responsibilities

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.