Micoworks - Senior Product Architect

Description : As a Senior Product Architect for Mico Engage AI, you will own the architectural vision and execution of a highly scalable, data-intensive platform powering personalized marketing at scale.Reporting To The VP of Engineering, You Will Lead System Design, Collaborate Cross-functionally, And Mentor Engineering Teams To Build a Resilient, AI-enabled Multi-channel Engagement Platform Ready For Global Architect scalable, fault-tolerant, event-driven systems for multi-channel delivery (LINE, WhatsApp, Email, SMS, RCS) at 10,000+ TPS.Responsibilities :- Lead design and rollout of a horizontally scalable, real-time customer segmentation engine integrating behavioral and profile data.- Build a unified customer profile infrastructure, consolidating multi-source data with real-time identity stitching and consent management.- Collaborate with data science teams to integrate AI/ML models into production workflows, including feature stores, model deployment, and inference orchestration.- Implement proactive monitoring, alerting, and observability (using tools like NewRelic, Sentry, CloudWatch) for operational excellence.- Mentor and guide engineering leads and teams in architectural best practices, cloud-native design, and scalable system development.- Partner with product managers and GTM teams to align architectural decisions with business goals and global rollout strategies.- Own system maintenance strategies, SLAs, fault tolerance, disaster recovery, and cost optimization initiatives.- Develop and maintain comprehensive architectural documentation and roadmap to support product growth.- Architect and implement cloud-native, scalable systems primarily on AWS, leveraging services such as Lambda, Kinesis, DynamoDB, Aurora MySQL, SQS, CloudWatch, IAM, and more.- Design and maintain automated deployment pipelines using Infrastructure as Code (Terraform, AWS CDK) integrated with CI/CD tools like GitHub Actions and Amplify Hosting.- Demonstrated experience in horizontal scaling, load balancing, and cost-optimized resource management for high-throughput distributed systems.- Build and manage observability and monitoring frameworks to ensure proactive detection and rapid resolution of issues, utilizing tools such as NewRelic, Sentry, CloudWatch, or equivalents.- Define and enforce system reliability and maintenance practices, including SLAs, SLIs, incident management, disaster recovery strategies, and automated runbooks.What You Will Achieve In 6-12 Months :- Deliver a scalable, reliable, and cost-efficient architecture supporting 10,000+ TPS with low latency.- Roll out a real-time segmentation engine, reducing campaign trigger delays by at least 50%.- Integrate AI/ML pipelines into key production use cases, improving campaign targeting and personalization.- Achieve 95%+ observability coverage across critical systems for proactive issue detection.- Build strong cross-functional partnerships and mentor technical leads to raise team capability.- Deliver a clear architectural roadmap aligned with global growth and product vision.Requirments :- 15+ years of software architecture experience designing scalable, event-driven distributed systems with large transactional and behavioral data loads.- Deep expertise with AWS cloud services (Lambda, Kinesis, DynamoDB, Aurora, SQS) and Infrastructure as Code (Terraform, AWS CDK).- Proven experience in architecting customer data platforms, real-time segmentation, or large-scale data pipelines.- Experience building multi-channel messaging platforms with high throughput and fault tolerance.- Hands-on development experience in TypeScript/Node.js (Nest.js ), React/Next.js, and CI/CD tooling.- Strong understanding of AI/ML system lifecycle integration and production deployment pipelines.- Expertise in designing for observability, proactive monitoring, and incident management.- Knowledge of data privacy and security best practices (GDPR, CCPA) and cloud security mechanisms (AWS Cognito, IAM).- Excellent leadership, collaboration, and communication skills working with cross-cultural, distributed teams.- Cloud architecture and operations expertise.- Familiarity with the LGTM stack (Linux, Git, Terraform, Monitoring) or equivalent operational excellence frameworks to support cloud infrastructure.- Experience collaborating closely with DevOps/SRE teams to ensure smooth production deployments, continuous improvements, and scalable.- Experience with global-scale, multi-region, multi-tenant system architectures.- Familiarity with streaming analytics, feature stores, and AI model operationalization.- Prior leadership in scaling SaaS products globally with a focus on customer engagement or marketing tech.- Comfortable mentoring and upskilling technical teams.- Strong written and verbal communication skills for diverse stakeholders.- Proven experience designing products or architectures in marketing technology (Martech), customer engagement, or campaign management domains.- Strong understanding of digital marketing workflows, multi-channel messaging, customer segmentation, and personalization best practices.- Familiarity with marketing KPIs, campaign analytics, and reporting requirements.- Knowledge of compliance and privacy issues affecting customer data in marketing contexts. (ref:hirist.tech)