Software Development Engineer (AI/Agentic Systems)

Join Equinix, a global leader in digital infrastructure, as a Senior Requirements Engineer for AI Agents & Agentic Workflows. In this critical role, you will define and shape the requirements for Equinix's most forward-looking developer productivity investments. You will work closely with platform engineering, compliance, governance, and AI platform teams to translate high-impact goals into actionable requirements. Your responsibilities will include designing and building the Agentic Execution Framework, implementing Claude Code platform-native integrations, building and maintaining the AI Agent Registry, and developing the Agent Build Platform. You will also be responsible for ensuring the safety and observability of agentic systems, writing clean and well-tested code, and continuously measuring impact against developer productivity metrics.

• Définir et façonner les exigences pour un cadre d'exécution agentique, l'intégration de la plateforme Claude Code, un registre d'agents IA et une plateforme de construction d'agents low-code.
• Traduire des objectifs ambigus et à fort impact en exigences précises et exploitables que les équipes d'ingénierie peuvent construire.
• Concevoir et construire le cadre d'exécution agentique, l'intégration de la plateforme Claude Code, le registre d'agents IA et la plateforme de construction d'agents.
• Experience working in large, matrixed engineering environments — comfortable navigating dependencies across security, platform, compliance, and application engineering teams
• Strong written and verbal communication skills — able to document architecture decisions, write clear technical specs, and engage productively with product and business stakeholders
• Ability to operate with autonomy on ambiguous, greenfield engineering challenges where the patterns are still being defined
• 7+ years of software engineering experience, with at least 2 years focused on platform engineering, developer tooling, or AI/ML systems in a production environment
• Hands-on experience building with LLM APIs and agentic frameworks: LangChain, LangGraph, AutoGen, CrewAI, Amazon Bedrock Agents, or equivalents
• Proficiency with observability tooling: structured logging, metrics instrumentation (Prometheus/Grafana), and distributed tracing (OpenTelemetry)
• Bachelor's degree in Computer Science, Engineering, or a related field; equivalent practical experience accepted
• Solid grasp of security patterns relevant to agent systems: non-human identity, scoped permissions, secrets management, least-privilege execution, and audit trails
• Experience with containerized workloads and Kubernetes — able to deploy, operate, and scale agent services in a cloud-native environment
• Experience integrating with GitHub APIs, GitHub Actions, and CI/CD pipeline systems — building bots, automation workflows, or developer tooling on top of these platforms
• Practical knowledge of event streaming and messaging systems: Kafka, EventBridge, RabbitMQ, or equivalents — able to design reliable, observable event-driven pipelines
• Familiarity with workflow orchestration platforms such as Temporal, <n8n.io>, Prefect, or similar
• Strong track record of building internal developer platforms, developer portals, or self-service tooling used by large engineering organizations
• Experience building and consuming REST and GraphQL APIs; comfortable designing service contracts and integration schemas
• Strong proficiency in one or more backend languages — Go, Python, Java, or TypeScript — with demonstrable experience building event-driven or distributed systems in production
• Demonstrated experience shipping agentic or LLM-powered systems at scale — not just prototypes, but production services with reliability, governance, and observability requirements
• Understanding of developer portal frameworks, particularly Backstage — able to build and publish plugins that surface agentic capabilities in the developer experience layer