Principal Software Architect, Workflow Orchestration

Equinix•Dallas, TX

2d•$155,000 - $233,000

About The Position

We are hiring a Principal Software Architect, Workflow Orchestration Platform to help define, design, build, and scale a mission-critical platform that coordinates the operational workflows required to keep our data centers delivering customer outcomes on time and operating at peak efficiency. This platform will serve as a core part of our data center operations technology ecosystem, providing real-time visibility, workflow coordination, operational resiliency, and improved execution across complex data center activities. The role requires a hands-on technical leader who can operate at both the architecture and implementation level while influencing engineering standards, platform direction, and cross-functional technical decisions. As a Principal Software Engineer, you will shape the architecture of distributed, cloud-native systems, guide technical strategy, mentor senior engineers, and partner closely with product, operations, infrastructure, and engineering teams to deliver scalable, reliable, and observable platform capabilities.

Requirements

12+ years of software engineering experience designing, building, and operating enterprise-grade software systems
Significant experience defining architecture for distributed, cloud-native platforms
Hands-on experience with Java, Spring Boot, microservices, and modern frontend frameworks such as React
Experience designing and operating highly available, observable, resilient, and scalable production systems
Experience with cloud-native engineering practices, including AWS, Kubernetes, containerized workloads, or EKS
Experience influencing technical direction across engineering teams, complex platform domains, or cross-functional initiatives
Demonstrated experience mentoring engineers, leading design reviews, and improving engineering practices
Experience leading or contributing to large-scale technical transformation programs, including legacy system migration, platform modernization, or organizational adoption of new architectural standards

Nice To Haves

Experience with workflow orchestration platforms such as Temporal, Cadence, Airflow, Argo Workflows, AWS Step Functions, or similar technologies
Experience with Kafka or comparable event-streaming platforms
Experience with PostgreSQL or comparable relational database technologies
Experience with observability, monitoring, alerting, incident response, SRE practices, SLOs, SLIs, and reliability engineering
Experience building platforms for operational workflows, infrastructure management, logistics, field operations, resource optimization, or mission-critical execution
Experience establishing engineering standards, architecture review practices, design governance, or reusable platform patterns
Experience working in complex, global, or highly matrixed technology environments
Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience

Responsibilities

Define and drive architecture for a cloud-native workflow orchestration platform supporting data center operational execution
Design scalable, resilient, and highly available distributed systems that support complex operational workflows across data centers
Establish architectural patterns, technical standards, design principles, and engineering practices for the platform
Lead technical decision-making across architecture, scalability, resiliency, observability, performance, and maintainability
Evaluate technology options and recommend pragmatic solutions that balance speed, reliability, complexity, and long-term platform sustainability
Drive cost-aware architecture decisions, balancing performance, scalability, and cloud infrastructure costs across compute, storage, and data transfer
Build and evolve enterprise-grade services using Java, Spring Boot, React, AWS, Kubernetes, and EKS
Design and implement event-driven architectures using Kafka or comparable event-streaming technologies
Develop platform capabilities that coordinate workflows, track operational progress, optimize resource utilization, and improve real-time visibility
Design and implement services that support high availability, fault tolerance, monitoring, alerting, and production supportability
Own end-to-end delivery from technical discovery and design through implementation, deployment, support, and continuous improvement
Build or integrate workflow orchestration capabilities using tools such as Temporal, Cadence, Airflow, Argo Workflows, AWS Step Functions, or comparable workflow technologies
Apply distributed systems design patterns related to consistency, scalability, fault tolerance, retry handling, recovery, and event-driven processing
Partner with operations and product stakeholders to translate complex data center execution workflows into scalable platform capabilities
Improve operational reliability through observability, monitoring, SLO/SLI thinking, and reliability engineering practices
Serve as a senior technical advisor to engineering, product, infrastructure, and operations partners
Mentor senior engineers and help raise the technical bar through design reviews, code reviews, technical coaching, and architecture discussions
Influence platform roadmap decisions through technical insight, business context, and data-driven recommendations
Partner across teams to align platform architecture with DIO priorities, operational outcomes, and customer-delivery needs
Help build a culture of engineering excellence, ownership, reliability, inclusion, and continuous improvement
Author architecture decision records (ADRs) and lead architecture review forums to drive alignment, document rationale, and maintain a durable record of key technical decisions