Product architect

Senior Technical Leader, Platform & Data SystemsLocation: Hybrid (3 days in-office / 2 day remote) — Bangalore, IndiaReports To: VP of Engineering (Head of India Operations)Job Type: Full-timeSeniority Level: Senior / Technical LeadershipAbout MicoMico is a Series B-funded AI technology company with over 1,000 customers primarily in Japan. Our flagship product, Mico Engage AI, is a cutting-edge AI-powered customer engagement platform that delivers real-time, multi-channel messaging at massive scale. We are expanding globally with engineering teams across Japan, India, Taiwan, and the Philippines.Role OverviewAs 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 expansion.ResponsibilitiesArchitect scalable, fault-tolerant, event-driven systems for multi-channel delivery (LINE, WhatsApp, Email, SMS, RCS) at 10,000+ TPS.Lead design and rollout of a horizontally scalable, real-time customer segmentation engine integrating behavioral and profile data.Build 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.Required Qualifications15+ years 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 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 ), , 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 expertiseArchitect 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.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 operations.Preferred QualificationsExperience 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.What you will achieve in 6-12 monthsDeliver a scalable, reliable, and cost-efficient architecture supporting 10,000+ TPS with low latency (