Gcp, MLops, Incident Management, automation, Scripting Languages, Azure, Kubernetes, data platforms, cloud platforms, Monitoring, infrastructure as code tools, hybrid architectures, CI CD capabilities, Developer Enablement, Platform Engineering, reliability engineering principles

Jenkins, Devops, Git, Docker, Kubernetes, Python, AgenticAI frameworks, R, AI ML engineering, CI CD tools

API design, Microservices, Python, data pipelines, Model Context Protocol, LLM based applications, data platforms, AI and ML systems, security practices for AI and agentic systems, agentic AI patterns, AI governance, data science concepts, RAG architectures

, Iso 27001, Node.js, Kubernetes, Python, Terraform, DAST, SCA, Cross-cloud Identity Management, EU AI Act, EKS, AKS, OWASP Top 10 for LLMs, Go, Serverless Security, SOC 2, GKE, Automated Threat Modeling, ISO 42001, SAST, Agentic AI

Machine Learning, Jax, Sql, Tensorflow, Pytorch, Gcp, Docker, Terraform, Spark, Azure, Kubernetes, AWS, Airflow, Generative AI, Ai, MLflow, CI CD, Kubeflow

Cloud Computing, Microservices, Agile Methodologies, Software Architecture, DevOps Practices, Team Leadership, CI/CD Pipelines

S3, RDS, Cloudformation, Dynamodb, AWS Glue, Prometheus, Emr, Grafana, JIRA, Jenkins, Shell, Confluence, Terraform, Gitlab, Kubernetes, Python, AWS, Loki, Go, Amazon MSK, OpsGenie

MLops, Docker, Flask, System Design, FastAPI, Kubernetes, Python, Api Development, Generative AI, Agentic AI

, AWS, Scalability, Microservices, Apis, Saas, Observability, Site Reliability Engineering

VMware, Kubernetes, Python, Azure, Gcp, Terraform, Docker, Ansible, PowerShell