Cloud Architect Internship, հեռավար աշխատանք

Այս հայտարարությունը հրապարակել է Metasys ընկերությունը, փնտրվող պաշտոնը՝ Cloud Architect Internship։ Պաշտոնը «IT և ծրագրավորում» կատեգորիայից է և ամբողջովին հեռավար։ Ընկերությունը չի սահմանափակում թեկնածուի բնակության վայրը, ուստի կարող եք դիմել այնտեղից, որտեղ ապրում եք։

Հայտարարության մեջ նշված հիմնական գործիքներն են՝ AWS, Docker։ Ռեզյումեն պետք է ցույց տա հենց այս հմտությունների կոնկրետ օրինակներ։

Գործատուն թիվ չի հրապարակել, հարցը լուծվում է հարցազրույցին։ Աշխատանքային ժամերի վերաբերյալ հայտարարությունը պայման չի դնում։

Այս թափուր աշխատատեղն անցել է ավտոմատ ստուգում. ցանկ չեն մտնում այն հայտարարությունները, որոնք պահանջում են օտարերկրյա աշխատանքի թույլտվություն, վիզայի հովանավորություն, որոշակի քաղաքացիություն կամ նշված երկրում բնակություն։

Overview: Multi-Tenant Cloud Infrastructure Design The Cloud Architect is responsible for designing, managing, and optimizing the entire multi-tenant cloud infrastructure that hosts our integrated supply chain e-commerce platform. While our current stack utilizes Oracle Cloud Free VMs, this role requires expertise in major public clouds (AWS/GCP/Azure) to architect scalable, resilient, cost-optimized, and compliant solutions that handle fluctuating e-commerce traffic, stable internal tool usage, and intensive AI agent compute demands. Internship Details Duration: 3 months Start Date: Immediate Location: Remote Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE. Key Responsibilities & Core Projects You will design and govern the platform's foundation, ensuring scalability and compliance across all environments.

* Cloud Architecture Design: Design and evolve the target cloud infrastructure (utilizing AWS, GCP, or Azure best practices) for maximum scalability, security, and high-availability, ensuring the platform can reliably support the MES $\rightarrow$ WMS $\rightarrow$ OMS flow.

* Capacity Planning & Optimization: Plan and optimize resource allocation to effectively handle unpredictable e-commerce traffic spikes and the specific compute requirements for AI agent training and inference, driving cost efficiency.

* High Availability & Disaster Recovery (DR): Implement multi-region/multi-AZ high-availability architectures and define comprehensive Disaster Recovery (DR) strategies for all core services, including PostgreSQL 15 and Redis.

* Infrastructure-as-Code (IaC) Governance: Establish and enforce best practices for Terraform usage, ensuring configuration consistency, security compliance, and auditable infrastructure changes.

* Security & Compliance: Conduct regular security reviews of cloud configurations (e.g., IAM, VPC/VNet, Storage) and ensure architecture aligns with data residency and compliance requirements relevant to our multi-tenant operations.

* Service Integration: Architect the network and service mesh overlay that integrates the containerized applications (Docker/Traefik) with external cloud services and the overall monitoring solution (Prometheus, OpenTelemetry).

Required Technologies & Tools Candidates must possess deep architectural experience with public cloud providers and infrastructure automation:

* Cloud Providers: Expert-level proficiency in at least one major public cloud (AWS, GCP, or Azure).

* Infrastructure-as-Code (IaC): Mandatory expertise in Terraform for cloud resource provisioning.

* Containerization: Deep knowledge of Docker networking, security, and orchestration principles.

* Networking & Edge: Experience configuring load balancing, service mesh, and ingress controllers (e.g., Traefik).

* Data & Storage: Architecting scalable database services (PostgreSQL) and object storage (MinIO).

* Security: Cloud security best practices, IAM policy design, and network segmentation.

AI Agent Focus You will optimize the cloud layer for our emerging AI capabilities.

* Compute Optimization: Design elastic and cost-effective compute clusters (e.g., GPU instances) to efficiently handle the variable demands of LLM fine-tuning and multi-agent system orchestration.

* Data Residency: Architect the data pipeline and storage solutions to ensure that training data and model artifacts adhere to strict data residency requirements across tenants.

Success Metrics & Career Path Performance will be measured by:

* Cost Efficiency: Demonstrable reduction in cloud operational costs (FinOps) while maintaining performance.

* Availability: Achieving defined SLAs/SLOs for infrastructure uptime and performance.

* Compliance: Successful implementation and auditing of cloud security and data residency controls.

Mentorship Structure: Reports to the Solution Architect or Head of Technology, collaborating closely with the SRE and DevSecOps teams to operationalize cloud strategy. Originally posted on Himalayas