Rust, Networking, Cloud Infrastructure, Storage, Distributed Systems, Azure, Kubernetes, Python, AWS, Infrastructure as Code, Resource Utilization, Managed Kubernetes services, Usage optimization, Cloud cost management, Multi-cloud deployments, Capacity Planning, Observability

Design Patterns, PostgreSQL, Data structures, Sql, Redis, Algorithms, Git, FastAPI, Rest Apis, Python, Backend service architecture, Asynchronous processing, SaaS design principles, Background job systems, Software security best practices, Functional programming

Jira, Sql, Angular, Microservices, Agile Project Management, React, Confluence, Gcp, Docker, Rest Apis, Azure, Kubernetes, AWS, Java Full Stack Development, Relational Databases, Java Spring Boot

Python, Databricks, Sql, Pyspark, Unit Testing, Terraform, Git, Azure DevOps, Azure Data Factory, Integration Testing, Spark SQL, Kubernetes, Docker, Apis, Jenkins, Data Modelling, Fabric Pipelines, Snowpark, dbt, Semantic Data, Modern Data Platforms, CI CD, Enterprise Orchestration Tools, Data Pipeline Testing, Databricks Workflows, Policy-as-Code, Microsoft Fabric, Infrastructure-as-Code, Cortex AI, Cloud ecosystems

Tensorflow, Golang, Pytorch, Docker, Kubernetes, Python, Airflow, Kubeflow, KServe, vector databases, MLflow

Unix, Pyspark, Prometheus, Apache Spark, Artifactory, Grafana, Jenkins, Git, Bitbucket, Docker, Linux, Ansible, Sonarqube, Dynatrace, Kubernetes, Python

Terraform, Kubernetes, Azure DevOps, GitHub Actions, Azure networking and security fundamentals, AKS, Neo4j cluster operations, CI/CD pipeline build and operation

Git, Docker, PostgreSQL, Rest Apis, Azure, Kubernetes, Python, Microservices, DevOps practices, Langfuse

Terraform, Docker, Bash, Python, Observability and monitoring tools, Go, API Gateway technologies, Event-driven architectures