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

Ml, Jenkins, Git, Gcp, DevSecOps, Docker, Azure, Data Analytics, Kubernetes, Python, AWS, LangChain, Generative AI, AI Agents, Ai, Claude, Model Fine-tuning, Vector Databases, OpenAI, Gemini, Prompt Engineering

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

Bash, Git, Terraform, Distributed Systems, Cloud Infrastructure, Kubernetes, Python, Go, infrastructure automation frameworks, reliability engineering practices, incident response processes, observability platforms, CI CD platforms, service reliability programs

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

containerization , Apis, Microservices, Test Strategy, Incident Response, AWS, Azure, Iam, Data protection concepts, Release safety, Distributed systems architecture, Cloud-native platform engineering, SDLC TLM automation, AI-assisted engineering, Event-driven architectures, Software Development Life Cycle toolchain, Observability, Operational Excellence, Data stores, SRE mindset

Spark, Kafka, Python, Sql, AWS, Team Leadership, cloud platforms