We are seeking a motivated and tech-savvy intern to join our Technical Architecture team. This is an excellent opportunity to gain hands-on experience in designing and implementing modern, scalable solutions. You will work closely with experienced architects and engineers, contributing to real-world projects and learning about the latest technologies in cloud computing, DevOps, and AI.
Key Responsibilities:
Infrastructure Design and Architecture
Collaborate closely with the client’s Infrastructure team to facilitate discussions and develop a comprehensive cloud infrastructure design that aligns with the project’s requirements.
Develop and maintain the overall cloud infrastructure architecture, ensuring it aligns with business goals and scalability requirements.
Build, test, and implement cloud solutions that meet the project’s needs, applying cloud-agnostic design principles where practical to avoid unnecessary vendor lock-in.
Cloud Resource Management
Manage and optimise cloud resources — compute (e.g., VMs/instances, containers), storage (e.g., object and block storage), managed databases, and networking services — across the chosen cloud platform.
Implement cost-effective strategies to monitor and control cloud usage and expenses (FinOps practices).
Security and Compliance
Ensure the security and compliance of cloud environments, including network/firewall controls, identity and access management (IAM) policies, secrets management, and encryption mechanisms.
Implement best practices for data protection and access control, aligned with relevant government and industry compliance requirements.
High Availability and Disaster Recovery
Design and implement high availability and disaster recovery solutions to minimise downtime and data loss.
Create and test backup and recovery plans.
Automation, IaC, and CI/CD
Develop and maintain infrastructure as code (IaC) scripts and templates using tools such as Terraform (or equivalents like Pulumi, CloudFormation, or ARM/Bicep).
Build and maintain CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Azure DevOps, Jenkins) to automate build, test, deployment, and scaling processes.
Apply GitOps and configuration-management practices to ensure consistent, repeatable, and auditable deployments.
Container Orchestration
Deploy, manage, and optimise containerised workloads using Kubernetes (managed offerings such as EKS, AKS, or GKE, or self-managed clusters) and related tooling (e.g., Helm).
Performance Optimization and Observability
Monitor system performance using observability tooling (metrics, logging, tracing) and identify opportunities for optimisation and performance tuning.
Implement scaling strategies to accommodate growing workloads.
Documentation and Knowledge Sharing
Maintain detailed documentation of cloud configurations, pipelines, procedures, and best practices.
Share knowledge and provide training to other team members and stakeholders.
Qualifications:
Cloud certification from a major provider — for example AWS (Solutions Architect, DevOps Engineer, or SysOps Administrator), Microsoft Azure (Administrator, DevOps Engineer, or Solutions Architect), or Google Cloud (Associate Cloud Engineer or Professional Cloud Architect / DevOps Engineer).
Proven experience in cloud infrastructure management, including designing, deploying, and optimising cloud environments on at least one major platform.
Strong understanding of cloud security, compliance, and best practices.
Proficiency in infrastructure as code (IaC) tools, CI/CD pipelines, and automation.
Hands-on experience with container orchestration (Kubernetes) and containerisation (Docker).
Excellent problem-solving and communication skills.
Ability to work effectively in a fast-paced, dynamic environment.
Flexibility to participate in on-call rotations and handle urgent infrastructure issues.
Commitment to keeping up to date with cloud services and industry trends across providers.
Proven experience in Government Commercial Cloud (GCC) is a plus.
Multi-cloud or hybrid-cloud experience is a strong advantage.
Educational Qualification :
Bachelor's degree in Computer Engineering, Computer Science, or a related field (Master's degree preferred).
