Distributed Systems, Kubernetes, GKE, DevOps practices, Cloud platforms, API-first approach, CI CD

data engineering , Machine Learning, Apache Spark, Kubernetes, Apache Iceberg, Frontier AI models, Airflow, ML Platform Development, Ray, NVIDIA Workbench, Flink, ML Ops platforms, SageMaker, Jupyter Notebooks, Kubeflow, Vertex AI, MLFlow

feature management, developer productivity and delivery platforms, platform or infrastructure teams, large-scale distributed systems, service-oriented, modern architectural patterns, experimentation frameworks, event-driven, Engineering, cloud-native

routing, Ivr, Salesforce Service Cloud, Analytics, Agile delivery, CRM platforms, Case Management, AI automation, contact center technologies, omnichannel support architectures, Telecom

data engineering , Apis, Microservices, ELT, Enterprise Integration, Etl, program delivery, Resource Management, messaging systems, event-driven architectures, utilization optimization, Data Platforms, Workforce Planning, AI GenAI use cases, cloud data platforms, integration patterns

Automation Tools, Microsoft 365, Gcp, Azure, AWS, Windows Servers clustering, DevOps practices, multi-cloud environments, Excel proficiency, CI CD pipelines, infrastructure management tools

bigtable , Orchestration, Storm, Kafka, Kinesis, Aerospike, Postgres, Python, Java, BigQuery, SQL Server, OLAP, Dimensional Modeling, Dataproc, Redis, Spark, Data Warehouse, analytics layers, Beam, real-time messaging, Data Mesh, cloud-native solutions, Data Platforms, lakehouse architecture, Data Fabric

Gcp, Distributed Systems, Kubernetes, high-throughput platforms, architectural and design leadership, Go, scalable APIs, backend software development

Java, Spring Batch, Ec2, Object Oriented Methodology, Spring Boot, Kubernetes, Spring Framework, AWS, EKS

Orchestration, Apis, Distributed Systems, versioning, data platforms, Claude, Anthropic, AI architecture, ChatGPT, agent development frameworks, Google ADK, OpenAI, prompt design