Principal Engineer, Product Software

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. 
 

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Job Summary

Equinix Incubation builds agentic systems that support the software delivery lifecycle end to end through specialized AI agents, human oversight, and enterprise-grade governance.

As a Principal Engineer, you will provide technical leadership for the architecture, design, and implementation of critical platform and agent capabilities. This is the most senior individual contributor role within the organization and is responsible for solving complex technical challenges, establishing engineering standards, and influencing the technical direction of the platform.

This role may focus on either the Agent Platform & Orchestration domain or the Agent Engineering domain, depending on business needs. Regardless of assignment, you will serve as a technical leader, mentor, and trusted advisor across engineering teams.

Responsibilities

Architecture and Technical Leadership

• Design scalable, secure, and reliable architectures supporting agent orchestration, agent-to-agent communication, tool integration, event-driven workflows, and enterprise platform integration.
• Lead the resolution of complex technical challenges related to reliability, performance, scalability, evaluation frameworks, and operational excellence.
• Develop and review critical platform and application code, ensuring adherence to software engineering best practices.
• Provide technical guidance and architectural direction across multiple engineering teams.
• Influence the technical strategy and long-term architecture of the platform.

Engineering Excellence and Quality

• Define engineering standards, evaluation methodologies, guardrails, release criteria, and quality frameworks for agent-based systems.
• Establish observability, monitoring, and evaluation capabilities that enable measurable and repeatable quality outcomes.
• Review and approve key technical designs and architectural decisions.
• Promote engineering rigor through technical reviews, documentation, and standards adoption.
• Ensure technical quality, maintainability, and operational readiness across platform and agent capabilities.

Platform and Product Delivery

• Partner with product management and engineering leadership to translate business objectives into technical strategy and execution plans.
• Create reusable frameworks, patterns, and reference implementations that accelerate platform development and adoption.
• Drive continuous improvement of platform capabilities, reliability, operational efficiency, and developer experience.
• Balance technical innovation with business priorities, delivery timelines, and operational requirements.

Technical Mentorship and Influence

• Mentor and develop engineers through technical coaching, design reviews, and knowledge sharing.
• Foster adoption of engineering standards, best practices, and platform patterns across teams.
• Influence technical decision-making through expertise, collaboration, and leadership without direct authority.
• Build engineering capability by promoting high standards of technical excellence and craftsmanship.

Security, Governance, and Operations

• Ensure platform designs incorporate security, privacy, compliance, auditability, and responsible AI considerations.
• Partner with security, governance, and architecture stakeholders to meet enterprise requirements.
• Drive operational excellence through monitoring, resilience, capacity planning, cost optimization, and incident readiness.
• Champion secure-by-design and reliable-by-design engineering practices across the platform.

Qualifications

Required

• Extensive software engineering experience with a proven record of technical leadership across multiple teams and organizations.
• Deep experience designing, building, and operating distributed systems, cloud-native platforms, APIs, and event-driven architectures.
• Hands-on experience building and delivering LLM-powered applications, AI systems, or agent-based solutions in production environments.
• Strong software development expertise in Python, TypeScript, or comparable modern programming languages.
• Demonstrated experience establishing technical standards, engineering practices, and architectural direction at scale.
• Proven ability to mentor senior engineers and develop technical talent.
• Strong written and verbal communication skills with the ability to influence technical and business stakeholders.

Preferred Qualifications

• Experience with agent frameworks, orchestration platforms, and protocols such as MCP, A2A, LangGraph, Bedrock, Vertex AI, OpenAI, Anthropic, or similar technologies.
• Experience building developer platforms, orchestration engines, SDLC tooling, or engineering productivity solutions.
• Experience implementing enterprise AI systems within regulated or security-conscious environments.
• Experience with responsible AI governance, evaluation frameworks, and model quality practices.
• Contributions to open-source software, technical publications, patents, or industry conference presentations.

Equinix Values

At Equinix, we operate with a growth mindset and embrace diversity of thought and contribution. We are committed to creating an environment where everyone can do their best work, grow their careers, and contribute to our success.

We welcome people with diverse experiences and backgrounds who are passionate about solving complex technical challenges and building technology that creates meaningful business impact.