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Micoworks - Senior Product Architect

Micoworks - Senior Product Architect

MicoworksBangalore
4 days ago
Job description

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)

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