Iot, Device Management, Java, Emm, Saas, Kafka, Distributed Systems, AWS, Android, Kubernetes, Python, Azure, Gcp, Jenkins, Git, Ios, cloud-native systems, CI CD tools, Go, MDM

Azure Resource Manager (ARM), Terraform, PowerShell

Software Development, Cloud Computing, Java Technologies, Information Security, Product Management, Performance Management

data engineering , Gcp, MLops, Python, Sql, Distributed Computing, Orchestration, Data Governance, Data Lineage, Performance Monitoring, Lakehouse architectures, Automated alerting, MLOps platforms, Observability frameworks, Data quality metrics, Machine learning lifecycle, Data pipelines, CI/CD for machine learning systems

Java, Hadoop, HBase, Sql, Big Data Technologies, Git, Hive, Spark, Data Governance, Python, security and compliance standards, ETL processes, Trino

Java, Distributed Systems, Spring Boot, Microservices, Gcp, Machine Learning, Azure, Artificial Intelligence, AWS, Modern data technologies, Cloud Platforms, Event-Driven Architectures

Jenkins, Git, Gcp, DevSecOps, Docker, Azure, Data Analytics, Kubernetes, Python, AWS, LangChain, AI Agents, Claude, Vector Databases, OpenAI, Gemini, Prompt Engineering, model fine-tuning, Generative AI technologies, AI ML engineering, RAG, large language models, CI CD practices, Retrieval-Augmented Generation

Google Cloud Platform, SLA, Networking, Terraform, Linux, Cloud Architecture, Distributed Systems, Incident Management, Microsoft Azure, Kubernetes, AWS, Infrastructure as Code, GitOps, On-Call operations, Rca, Troubleshooting, observability, SLO governance

production readiness , secure sdlc , Apis, Automated Testing, DevSecOps, Distributed Systems, Kubernetes, AWS, data pipelines, Reliability, cloud-native applications, AI-assisted development, infrastructure as code, scalable web platforms, observability