AWS Cloud Solutions Architect

Quick Facts

• Role: AWS Cloud Solutions Architect

• Work mode: Remote

• Time zone: US (Texas; until 12:00)

Description

Design, deploy, and maintain AWS infrastructure for geosciences projects, including parallel compute workloads using CPU and GPU. Automate infrastructure with Infrastructure as Code (Terraform and CloudFormation), configure AWS Batch and messaging workflows, set up containers, storage access, databases, monitoring, and secure networking. Collaborate with a US client and teams responsible for cloud operations, cybersecurity, networking, storage/compute, and software development.

Responsibilities

• Design, implement, and operate AWS infrastructure supporting geosciences workloads

• Automate infrastructure provisioning and configuration using IaC (Terraform, CloudFormation)

• Configure AWS Batch jobs (job queues and job definitions) for parallel workloads

• Select and optimize EC2 resources, including CPU-, GPU-, and memory-optimized instances

• Set up S3 buckets and secure file/folder access, including cross-account access

• Build and maintain container environments using Docker, ECR, and ECS

• Develop and support solutions using PostgreSQL and DynamoDB

• Configure job queuing and processing using SQS and Launch Templates; send email/SNS notifications on completion or failure

• Create monitoring and dashboards covering job runs, service/instance usage, execution time, and costs (CloudWatch, Athena)

• Design and maintain secure AWS network and permissions configuration (VPC, subnets, Security Groups, VPC Endpoints, permission boundaries)

• Deploy and support DEV/TEST/PRO environments and work with the client’s IT team to resolve issues

• Analyze user requirements, document in Azure DevOps Wiki and Excel, translate needs into technical solutions, and advise on architecture and further development

Requirements

• Practical experience designing, deploying, and maintaining AWS environments; autonomy appropriate for an architect

• Hands-on AWS Batch experience, including job queues and job definitions

• Knowledge of EC2 instance types including CPU-, GPU-, and memory-optimized; understanding of parallel processing

• Practical Terraform/IaC experience

• CloudFormation knowledge (Python CDK is a plus)

• Strong Python skills for automation and AWS service usage

• Very good AWS security and networking knowledge: VPC, subnets, Security Groups, VPC Endpoints, IAM permission boundaries

• S3 configuration and access management experience, including cross-account

• Experience with Docker and ECR/ECS

• CloudWatch and Athena knowledge; ability to build monitoring and dashboards

• SQS and SNS knowledge and job status notification mechanisms

• Knowledge of PostgreSQL and DynamoDB

• Ability to deploy and support solutions across DEV, TEST, and PROD

• Documentation experience and work in Azure DevOps (Wiki, repositories; Terraform pipelines are a plus)

• Independence, proactivity, responsibility, analytical thinking, and strong communication

• Very good English for day-to-day collaboration with the US client

Benefits

• Ambitious project with real impact on AWS infrastructure for demanding compute tasks

• High technical level of the project and work with CPU/GPU workloads

• International client collaboration and multiple technical teams

• Proactive team culture

• Integration events and activities

• Development budget

• Group insurance

• Medicover medical care

• Remote work