5-7 years of experience leading a Platform engineering team transitioning to AI-driven development.
Strong hands-on experience with Golang and expertise in distributed systems and cloud-native infrastructure.
Production experience with AI agents in commercial software, including workflows and reliability challenges.
Advanced knowledge of AI-native software delivery lifecycle and modern coding agents.
Experience architecting security-sensitive platforms with distributed databases and container orchestration.
Responsibilities
Architect and build critical systems while remaining hands-on with code.
Establish new engineering practices and workflows for AI-assisted development.
Mentor experienced developers and raise architectural standards.
Collaborate with cross-functional teams to influence engineering culture.
Drive the transition to specification-driven development and automated testing.
Benefits
Opportunity to shape the technical direction of a growing engineering organization.
Influence over platform architecture and software delivery practices.
Work in a highly collaborative and innovative environment.
Access to cutting-edge technologies and methodologies.
Professional development and mentorship opportunities.
Full Job Description
A growing technology company operating complex, security-sensitive systems is seeking a Principal Engineer to take significant ownership of architecture while helping scale and evolve a small, experienced engineering organization.
You'll work across a distributed, cloud-native platform while helping establish an AI-native approach to software delivery-moving engineering toward specification-driven development, automated implementation, and rigorous technical review.
This is a highly hands-on technical leadership role for someone who can architect and build critical systems, introduce new engineering practices, mentor experienced developers, and establish the technical foundations needed for the organization's next stage of growth. You'll have substantial influence over both the platform and how the engineering team builds software.
Required Skills & Experience
Direct experience personally leading a Platform engineering team through the transition from traditional software development to an AI-driven development model. You should have implemented new workflows, tooling, quality controls, and engineering practices around AI-assisted or agentic development-not simply used AI coding tools as an individual contributor.
Strong hands-on Golang engineering experience combined with deep expertise in distributed systems, service architecture, Kubernetes, and cloud-native infrastructure. You should be comfortable remaining close to the code while making architectural decisions that influence the broader engineering organization.
Production experience designing, building, or integrating AI agents into commercial software products, including practical knowledge of agent workflows, tool use, orchestration, model integration, guardrails, evaluation, observability, and the reliability challenges associated with moving agentic systems from prototype to production.
Desired Skills & Experience
Advanced experience establishing an AI-native software delivery lifecycle, including specification-driven development, AI-generated code review, automated testing and evaluation, governance, and effective use of modern coding agents and agentic development platforms.
Experience architecting highly available, security-sensitive platforms using technologies such as distributed databases, secrets-management systems, container orchestration, multi-region architectures, and modern authentication or authorization approaches.
Experience acting as a senior technical leader within a small or scaling engineering organization, including mentoring engineers, raising architectural standards, hiring technical talent, influencing engineering culture, and partnering directly with product and executive leadership.
