Principal Engineer/ AI-Native Platform

Résumé du poste

Lead the architecture and evolution of a cloud-native platform while transitioning the engineering organization toward an AI-native software delivery model. The role involves 70% hands-on engineering and 30% cross-functional collaboration and leadership.

Détails du poste

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. Daily Responsibilities Hands-On Engineering: 70% Team Collaboration & Cross-Functional Work: 30% Posted By: Adrian Cronk

Ce que vous ferez

Lead the architecture and evolution of a cloud-native platform while transitioning the engineering organization toward an AI-native software delivery model. The role involves 70% hands-on engineering and 30% cross-functional collaboration and leadership.

Exigences

Requires deep expertise in Golang, Kubernetes, and distributed systems, with proven experience leading teams through the adoption of AI-driven development workflows. Candidates must have production experience integrating AI agents into commercial software products.

Compétences indiquées

• Kubernetes · Souhaitée
• Go · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Golang
• Distributed Systems
• Kubernetes
• Cloud-Native Infrastructure
• AI Agent Orchestration
• Service Architecture
• Specification-Driven Development
• Agentic Development
• Technical Leadership
• System Architecture
• Multi-region Architectures
• Secrets Management
• Container Orchestration
• Observability
• Governance
• Mentoring

Domaines d’emploi

• Software
• Technology
• Engineering
• Management & Leadership
• Data & Analytics