KAMAL SHARMA
Solution Architect | Cloud Platform Engineering & AI
Summary
Senior Software Engineer with 13+ years building enterprise platforms, distributed systems, and cloud infrastructure on AWS and Google Cloud. Leads platform modernization across AWS and Amazon EKS using Terraform, Kubernetes, observability, cloud security, and CI/CD automation, while maintaining deep hands-on Java and microservices expertise from over a decade of production systems. Extends that platform background into Generative and Agentic AI: built an enterprise RAG platform and an AI-driven infrastructure drift-detection agent that turn LLMs, vector search, and automation into practical engineering tools. Works fluently across application, SRE, platform, and security teams to turn ambiguous requirements into reliable, scalable systems.
Core Skills
Experience
Solution Architect – Cloud Infrastructure & Platform Engineering
Cisco Systems · TPSCRM Platform
- Lead platform modernization for Cisco's TPSCRM platform across AWS and Amazon EKS, improving reliability, observability, security, automation, and deployment consistency.
- Built reusable platform engineering capabilities using Terraform to standardize provisioning of EKS, IAM, IRSA, ALB, Route 53, ACM, Secrets Manager, and CloudWatch across enterprise environments.
- Architected and managed production AWS EKS clusters supporting enterprise microservices with RBAC, network policies, Prometheus/Grafana observability, CI/CD automation, and high availability.
- Build enterprise Grafana dashboards integrating Prometheus, CloudWatch, and OpenSearch for centralized platform visibility and faster incident detection.
- Develop automated Kubernetes sizing recommendations from historical Prometheus metrics, improving cluster utilization without sacrificing performance.
- Build AI skill-based operational runbooks that combine Kubernetes, Prometheus, CloudWatch, OpenSearch, and AWS context to investigate production issues and guide root-cause analysis.
- Strengthen security and CI/CD through Secrets Manager adoption, least-privilege IAM/IRSA, Jenkins pipeline improvements, and GitHub Actions modernization.
AI-Powered Infrastructure Drift Validation Agent
Built an agent integrating Terraform, AWS, and Generative AI to detect infrastructure drift, classify changes, assess operational risk, and generate remediation recommendations with human-in-the-loop review.
Senior Software Engineer
Urban Outfitters (URBN)
- Designed Docker-based microservices and backend APIs for internal business operations using Java, Micronaut, Google Cloud, Kafka, and Spanner.
- Built order, invoice, cart, and backend microservices handling 100,000+ requests per day.
- Built ETL pipelines processing and visualizing Stripe financial data to surface seasonal sales trends using Kafka, Spanner, and Spring.
- Designed a warehouse database and reporting ETLs with Dataflow, SQL, and BigQuery to process terabytes of streaming and batch data.
- Designed reporting dashboards that gave business and operations teams visibility into inventory, order processing, sales performance, and subscription growth.
- Developed microservices and backend APIs supporting core rental workflows, including order management and internal business operations.
- Built reliable streaming and batch data workflows that transformed operational data into analytics-ready BigQuery datasets.
- Led five offshore developers on delivery of an internal platform, coordinating design, implementation, and technical execution.