SuccessKPI is seeking an Enterprise Architect to define, own, and evolve the architectural foundation of our global SaaS platform.

Requirements

12+ years of software engineering experience, including 5+ years in senior architecture leadership roles within SaaS, cloud-native or CCaaS platforms.
Proven experience designing and scaling multi-tenant, enterprise-grade distributed systems.
Deep expertise in AWS, including serverless, container orchestration, event-driven architectures, global-scale data systems, and high-availability designs tailored for CCaaS and communications workloads.
Hands-on experience with Business Intelligence platforms, including MicroStrategy—designing data models, dashboards, and scalable BI solutions integrated with cloud data pipelines.
Familiarity with AI/ML services, including speech transcription, sentiment analysis, language understanding, and applying these capabilities to enhance CCaaS and customer engagement workflows.
Strong knowledge of DevOps practices, CI/CD pipelines, containerization, and infrastructure-as-code.
Demonstrated success influencing technical direction across multiple teams and stakeholders.
Excellent communication skills with the ability to distill complex concepts for diverse audiences.
Experience guiding globally distributed teams

Benefits

SuccessKPI is seeking an Enterprise Architect to define, own, and evolve the architectural foundation of our global SaaS platform.

12+ years of software engineering experience, including 5+ years in senior architecture leadership roles within SaaS, cloud-native or CCaaS platforms.
Proven experience designing and scaling multi-tenant, enterprise-grade distributed systems.
Deep expertise in AWS, including serverless, container orchestration, event-driven architectures, global-scale data systems, and high-availability designs tailored for CCaaS and communications workloads.
Hands-on experience with Business Intelligence platforms, including MicroStrategy—designing data models, dashboards, and scalable BI solutions integrated with cloud data pipelines.
Familiarity with AI/ML services, including speech transcription, sentiment analysis, language understanding, and applying these capabilities to enhance CCaaS and customer engagement workflows.
Strong knowledge of DevOps practices, CI/CD pipelines, containerization, and infrastructure-as-code.
Demonstrated success influencing technical direction across multiple teams and stakeholders.
Excellent communication skills with the ability to distill complex concepts for diverse audiences.
Experience guiding globally distributed teams