Senior Staff Engineer, Equinix

• A commitment to collaborative problem solving, sophisticated design, and product quality is essential
• Bachelor’s or Master’s degree in Computer Science and Engineering or equivalent
• 8+ years of engineering experience with strong depth in distributed systems, API platforms, and cloud-native development (Java, Node.js, or equivalent)
• Proven experience in designing and operating microservice architecture at scale (preferably multi-tenant SaaS/PaaS)
• Strong knowledge of event streaming (Kafka, Pub/Sub), container orchestration, automated CI/CD and observability frameworks (Prometheus, OpenTelemetry, Grafana, etc.)
• Hands-on experience applying AI in software engineering—e.g., using generative AI for design, code, or operational insights
• Deep understanding of data modeling, domain-driven design, and API lifecycle management
• Excellent communication skills; able to influence at multiple levels of the organization
• Experience in enterprise application integration (ERP, CRM, CPQ, or billing systems) and Quote-to-Cash automation will be a plus

Desirable

• The Product Software team at Equinix builds next-generation software products and architecture for our Equinix software platform and services offerings
• We are looking for engineers responsible for developing consistent APIs with microservices, interacting with multiple consumers and abstracting complex Enterprise Application workflows
• Your primary responsibility will be to design and develop platform services, and to collaborate with partner teams to understand their requirements and consumption patterns
• You will work closely with product engineering, architects and product managers
• You'll participate in the technical strategy for modular, event-driven, and scalable microservices that power enterprise-grade workflows
• Develop reusable frameworks and self-service platforms for onboarding, configuration, and lifecycle management
• Apply AI tools to accelerate software design, development, and operations - e.g., AI-assisted architecture reviews, test generation, and defect prediction
• Influence cross-functional architecture decisions for customer, billing, pricing, and commerce systems integrated across the Quote-to-Cash flow
• Champion design principles that balance innovation, maintainability, observability, and operational excellence
• Lead by example—building reliable, secure, and observable systems with strong performance SLAs
• Establish best practices for API-first development, automated testing, DevSecOps, and continuous delivery
• Partner with product managers to translate business intent into technical outcomes that scale globally
• Participate in “AI Ops” automation across environments for faster root cause analysis and proactive reliability improvements
• Serve as a mentor and technical coach, raising the level of engineering maturity across teams
• Cultivate an engineering culture grounded in curiosity, experimentation, and craftsmanship
• Advocate for pragmatic innovation—balancing long-term platform health with short-term delivery needs