Harsha Shastri — CTO

A leader, with a track record of building organizations through both 0 to 1, and scaling-up journeys. Accelerating organization’s growth by building highly scalable software platforms, customer centric products and providing thought leadership. Key Contribution Areas - Building technology platforms aligned with business, across different domains like public cloud, e-commerce, mobility, health-tech, insurance & telecom - Ability to solve complex, multi-dimensional problems and deal comfortably with abstraction/fuzzy problems resulting in a robust, highly-scalable, and well-architected solution - Managing NFR aspects of the platform like Scalability, Availability, Security, Testability and Maintainability. - Working with large scale microservices based cloud native applications with best practices, Event driven architectures, distributed caching/locking, centralised configurations, RDBMS/NoSQL databases etc. - Experience designing Realtime and ETL data pipelines, architecting Data Lake and Lake House, Optimising DataWareHouses, ML Pipelines for model training and inference. - Containerisation(docker/kubernetes), Logging & Telemetry, CI/CD Pipelines, Security best practices, infra cost reduction, capacity planning, operational review with AWS team. - Providing thought leadership, mentoring senior/junior engineers, training teams on new technologies/concepts, building & sharing knowledge bases, refining interviewing process to hire best talent. - Collaborate with Management, Product, Operations, Marketing, Customer Support teams to deliver world class software products. Technical Skills - Java (Multi Threading, Data Structures), Object Oriented Design, Design Patterns, REST API Design - Distributed Computing Concepts (Leader election, Consensus, Distributed Locking, Data Partitioning, Replication) - RDBMS (MySQL), NoSQL Databases (Dynamo/MongoDB/ElasticSearch) - Caching (Redis/Hazelcast/Oracle Coherence) & Eventing Systems (Apache Kafka/ActiveMQ/AWS SNS/SQS) - Containerisation (Docker, Kubernetes, Mesos Marathon, Service Mesh), EFK, Prometheus/NewRelic, Jenkins CI/CD - Big Data Processing (Apache Flink/Hudi/Airflow/Spark, AWS RedShift), ML Ops (Kubeflow) Areas of interest - Distributed Systems, Microservices, Big Data Processing

Stackforce AI infers this person is a Backend-heavy Architect with expertise in SaaS and cloud-native solutions.

Location: Bengaluru, Karnataka, India

Experience: 21 yrs 8 mos