Trans Skills is an HRIS solutions business offering services from hiring to payroll processing and payments. Founded in 2008 and headquartered in Dubai, we offer a comprehensive suite of products and services to help businesses source, onboard, ensure compliant global employment and payroll, and facilitate salary and statutory payments in over 140 countries. Trans Skills is also a global EOR provider with specialty recruitment and staffing solutions across the Middle East and Africa. We have a global network of 32 offices serving clients in more than 40 countries worldwide.
• Cloud Providers: Expertise in major cloud platforms such as:
o Amazon Web Services (AWS) o Microsoft Azure o Google Cloud Platform (GCP) o IBM Cloud, Oracle Cloud, or other niche providers.
• Cloud Services: Familiarity with a wide range of cloud services, including:
o Compute: EC2, Azure Virtual Machines, Google Compute Engine. o Storage: S3, Blob Storage, Google Cloud Storage, Azure Storage, Cloud File Systems. o Networking: VPC, VPN, Load Balancing, DNS, CDN, and IP management. o Databases: Managed databases (e.g., Amazon RDS, Azure SQL, Google Cloud SQL) and NoSQL solutions (e.g., DynamoDB, Azure Cosmos DB).
o Serverless Computing: AWS Lambda, Azure Functions, Google Cloud Functions. o Containerization and Orchestration: Docker, Kubernetes, Amazon EKS, Google GKE, Azure AKS.
Architecture Design and Implementation
• Cloud Architecture: Designing scalable, high-availability, and fault-tolerant cloud solutions based on best practices.
• Multi-Cloud & Hybrid Cloud: Experience in designing solutions that span across multiple cloud environments or integrate on-premises infrastructure with cloud services.
• Microservices Architecture: Designing cloud-native applications using microservices, ensuring they are loosely coupled, scalable, and maintainable.
• High Availability and Disaster Recovery: Designing resilient architectures with backup, failover, and disaster recovery plans.
• Cost Optimization: Knowledge of cost management strategies and tools to optimize cloud usage and ensure efficient use of resources.
• Cloud Migration: Leading migrations of on-premises applications to the cloud (Lift and Shift, Replatforming, Refactoring, etc.).
Security & Compliance
• Cloud Security Best Practices: Knowledge of securing cloud environments, including identity and access management (IAM), encryption, network security, and firewalls.
• Security Services: Familiarity with cloud-native security services like AWS Identity and Access Management (IAM), AWS Shield, Azure Active Directory, Google Cloud Identity, etc.
• Compliance Frameworks: Understanding of compliance requirements such as GDPR, HIPAA, SOC 2, PCI-DSS, and how to implement them in a cloud environment.
• Data Privacy and Governance: Ability to create and manage data privacy policies and access control models for cloud environments.
• Penetration Testing and Vulnerability Assessment: Experience in using tools to test the security posture of cloud systems and mitigate vulnerabilities.
DevOps and Automation
• CI/CD Pipelines: Experience in setting up and managing continuous integration and continuous deployment pipelines using tools like Jenkins, GitLab CI, AWS CodePipeline, Azure DevOps, etc.
• Infrastructure as Code (IaC): Proficiency in tools like Terraform, AWS CloudFormation, Azure Resource Manager (ARM), or Google Cloud Deployment Manager for automating cloud infrastructure provisioning.
• Configuration Management: Familiarity with tools such as Ansible, Chef, Puppet, or SaltStack for managing and automating cloud configurations.
• Containerization and Orchestration: Expertise in working with containers (e.g., Docker) and orchestrating them using Kubernetes, Amazon ECS, Google Kubernetes Engine (GKE), or Azure Kubernetes Service (AKS).
Networking & Connectivity
• Cloud Networking Concepts: Knowledge of cloud networking principles including VPC, subnetting, load balancing, DNS, NAT, and security groups.
• Virtual Private Networks (VPNs) & Direct Connect: Designing secure communication between cloud and on-premises networks.
• Global Distribution & CDN: Familiarity with Content Delivery Networks (CDNs), edge services, and multi-region cloud deployments for globally distributed applications.
• SD-WAN & Hybrid Connectivity: Understanding of hybrid cloud networking solutions that connect onpremises data centers with cloud infrastructure.
• API Gateway & Service Mesh: Using tools like AWS API Gateway, Azure API Management, Istio, or Linkerd to manage API traffic and service-to-service communication in microservices architectures.
Cloud Cost Management and Billing
• Cost Optimization Strategies: Identifying underutilized resources and recommending optimizations to minimize costs.
• Pricing Models and TCO (Total Cost of Ownership): Understanding of different cloud pricing models (on-demand, reserved instances, spot instances, etc.) and the ability to estimate and manage costs using native tools like AWS Cost Explorer, Azure Cost Management, and Google Cloud Pricing Calculator.
• Budgeting & Forecasting: Experience in setting budgets, forecasting costs, and managing billing alerts to avoid unexpected charges.
Programming & Scripting
• Programming Languages: Proficiency in at least one or more programming languages such as Python, Java, Go, or JavaScript for automation and tool development.
• Scripting Languages: Experience with shell scripting, PowerShell, or Bash for cloud automation tasks.
• Cloud SDKs and APIs: Familiarity with the software development kits (SDKs) and REST APIs provided by cloud vendors to interact with cloud services programmatically.
Data Management and Analytics
• Big Data Solutions: Experience with cloud-based big data processing tools such as AWS Redshift, Google BigQuery, or Azure Synapse Analytics.
• Data Lakes and ETL: Knowledge of creating data lakes and handling ETL (Extract, Transform, Load) processes in the cloud.
• Machine Learning Integration: Familiarity with integrating machine learning services like AWS SageMaker, Azure ML, or Google AI Platform into cloud solutions.
• Real-Time Data Processing: Experience with real-time data processing tools like AWS Kinesis, Google Cloud Pub/Sub, or Azure Event Hubs.
Monitoring, Logging, and Troubleshooting
• Monitoring & Alerting: Knowledge of cloud-native monitoring tools like AWS CloudWatch, Azure Monitor, or Google Operations Suite (formerly Stackdriver).
• Logging Services: Proficiency in centralized logging solutions like AWS CloudTrail, Azure Log Analytics, or Google Cloud Logging.
• Troubleshooting Tools: Experience with cloud diagnostic tools to troubleshoot performance issues, latency, and failures in cloud-based applications.
Certifications (Optional but Beneficial)
• AWS Certified Solutions Architect – Professional
• Microsoft Certified: Azure Solutions Architect Expert
• Google Professional Cloud Architect
• Certified Kubernetes Administrator (CKA)
• Certified Cloud Security Professional (CCSP)