Aws Cloud, AWS DevOps, Docker, Cloud Infrastructure Management, ECS Fargate, Containerisation, Amazon API Gateway

Cloud Infrastructure, Gcp, Terraform, Azure, AWS, Infrastructure as Code, LLMs, AI Architecture Strategy, Anthropic, Vector Databases, Agentic AI, Cloud Deployment Pipelines, RAG, OpenAI

Terraform, Linux, Databricks, Helm, Kubernetes, AWS, CI/CD, Monitoring and observability tools, ArgoCD, Networking fundamentals

Unix, Elk, Prometheus, Grafana, Datadog, Rest Api, Shell, Docker, Gitlab, Python, AWS, Bash, Sql, Jenkins, Gcp, Linux, Splunk, Azure, Kubernetes, GitHub Actions, AI-assisted coding tools, Model Context Protocol, CI/CD, MCP

System Development Life Cycle (SDLC), Java, Distributed Systems, C, C++, Design Patterns, Scala, Cloud, Gcp, Docker, Azure, Python, Kubernetes, AWS, Go, Software Engineering Principles, Microservice Architectures

Java, C#, Github, Jira, Typescript, Python, Azure DevOps, Containerization and Kubernetes, Prompt engineering, Vector databases, RAG implementations, GitHub Copilot, CI/CD pipelines, LLM APIs and frameworks, Agentic workflows

enterprise content management (ECMs), Java, Apis, Javascript, System Design, Python, orchestration frameworks, debugging systems, leading technical delivery strategies, troubleshooting technical issues, identity cloud infrastructure, reading or debugging code, enterprise integrations, AI ML model deployments, interfacing with product engineering organizations

Yaml, Monitoring Tools, Json, Terraform, Api Gateway, Jenkins, Ansible, Dynatrace, Splunk, Kubernetes, Deployment Manager, GCP Cloud Native Services, Github Actions, Azure ARM templates, Cloud Build, Gitlab CI CD, Cloud Deploy, GCP Database services, Storage Security Groups, Landing Zones, observability, Data Dog, GKE Kubernetes Services, GCP DevOps services, Google cloud infra, Google Cloud Data Flow