10/14/2026 updated
100 % available
Senior Cloud Architect | AWS | GCP | Azure | Terraform | DevOps | AI
Stockholm, Sweden
Only remote
Cloud Architecture (AWS, GCP, Azure)
Expertise in designing, building, and modernizing enterprise cloud platforms across Amazon Web Services, Google Cloud Platform, and Microsoft Azure, including multi-cloud and hybrid environments for large-scale organizations.
Infrastructure as Code (Terraform, AWS CloudFormation, AWS CDK)
Proficiency in implementing Infrastructure as Code using Terraform, AWS CloudFormation, and AWS CDK to standardize, automate, and govern cloud deployments across enterprise environments.
Containers & Orchestration (Docker, Kubernetes, ECS, Fargate)
Hands-on experience with containerization and orchestration technologies including Docker, Kubernetes (EKS), Amazon ECS, and AWS Fargate to build scalable and resilient cloud-native solutions.
Programming (Python, C#, JavaScript, Bash)
Strong programming background in Python, C#, JavaScript, and Bash, applied to cloud automation, backend development, AI workflows, and infrastructure tooling.
Serverless Technologies (AWS Lambda, API Gateway, Step Functions, EventBridge)
Design and implementation of serverless and event-driven architectures using AWS Lambda, API Gateway, Step Functions, and EventBridge to deliver scalable and cost-efficient solutions.
AI & Generative AI (Amazon Bedrock, Google AI, LLMs, Agentic AI)
Integration of Large Language Models and AI-powered capabilities using Amazon Bedrock, Google AI, and Agentic AI frameworks to build intelligent cloud-native applications.
DevOps & CI/CD (GitHub Actions, Azure DevOps, Bitbucket Pipelines, GitOps)
Establishment and management of CI/CD pipelines and automated deployment workflows using GitHub Actions, Azure DevOps, Bitbucket Pipelines, and GitOps practices.
Observability (Datadog, CloudWatch, Grafana, Prometheus)
Implementation of monitoring and observability solutions using Datadog, CloudWatch, Grafana, and Prometheus to enhance platform reliability and operational visibility.
Networking & Security (VPC, Transit Gateway, Direct Connect, Route 53, IAM, AWS Organizations)
Design and management of secure enterprise networking and security architectures including VPC, Transit Gateway, Direct Connect, Route 53, IAM, and AWS Organizations.
Databases (PostgreSQL, Amazon Aurora, Amazon RDS, DynamoDB, Redis)
Experience with relational and NoSQL database technologies including PostgreSQL, Amazon Aurora, Amazon RDS, DynamoDB, and Redis for scalable and highly available data platforms.
Expertise in designing, building, and modernizing enterprise cloud platforms across Amazon Web Services, Google Cloud Platform, and Microsoft Azure, including multi-cloud and hybrid environments for large-scale organizations.
Infrastructure as Code (Terraform, AWS CloudFormation, AWS CDK)
Proficiency in implementing Infrastructure as Code using Terraform, AWS CloudFormation, and AWS CDK to standardize, automate, and govern cloud deployments across enterprise environments.
Containers & Orchestration (Docker, Kubernetes, ECS, Fargate)
Hands-on experience with containerization and orchestration technologies including Docker, Kubernetes (EKS), Amazon ECS, and AWS Fargate to build scalable and resilient cloud-native solutions.
Programming (Python, C#, JavaScript, Bash)
Strong programming background in Python, C#, JavaScript, and Bash, applied to cloud automation, backend development, AI workflows, and infrastructure tooling.
Serverless Technologies (AWS Lambda, API Gateway, Step Functions, EventBridge)
Design and implementation of serverless and event-driven architectures using AWS Lambda, API Gateway, Step Functions, and EventBridge to deliver scalable and cost-efficient solutions.
AI & Generative AI (Amazon Bedrock, Google AI, LLMs, Agentic AI)
Integration of Large Language Models and AI-powered capabilities using Amazon Bedrock, Google AI, and Agentic AI frameworks to build intelligent cloud-native applications.
DevOps & CI/CD (GitHub Actions, Azure DevOps, Bitbucket Pipelines, GitOps)
Establishment and management of CI/CD pipelines and automated deployment workflows using GitHub Actions, Azure DevOps, Bitbucket Pipelines, and GitOps practices.
Observability (Datadog, CloudWatch, Grafana, Prometheus)
Implementation of monitoring and observability solutions using Datadog, CloudWatch, Grafana, and Prometheus to enhance platform reliability and operational visibility.
Networking & Security (VPC, Transit Gateway, Direct Connect, Route 53, IAM, AWS Organizations)
Design and management of secure enterprise networking and security architectures including VPC, Transit Gateway, Direct Connect, Route 53, IAM, and AWS Organizations.
Databases (PostgreSQL, Amazon Aurora, Amazon RDS, DynamoDB, Redis)
Experience with relational and NoSQL database technologies including PostgreSQL, Amazon Aurora, Amazon RDS, DynamoDB, and Redis for scalable and highly available data platforms.
Experience
Professional experience5 - 10 years
Freelancer since2022
Languages
EnglishNative speakerTurkishNative speaker
Project history
Founded and built JobMesh.ai, an AI-powered recruitment platform from the ground up. Responsible for overall solution architecture, platform engineering, backend development, cloud infrastructure, and AI capabilities. Designed a scalable multi-cloud platform leveraging AWS and Google Cloud Platform. Integrated Large Language Models for AI-powered job matching, CV analysis, career coaching, and intelligent search. Established CI/CD pipelines and automated deployment workflows.
Leading the design and implementation of enterprise-scale AWS cloud platforms supporting digital transformation, modernization, and platform engineering initiatives. Responsible for designing secure, scalable, and highly available cloud architectures while driving Infrastructure as Code, automation, governance, and operational excellence. Developed Infrastructure as Code using Terraform, built Python-based automation, and architected serverless and container-based solutions.
Supported Jaguar Land Rover's High Performance Computing (HPC) platform by designing, optimizing, and managing AWS-based HPC and Parallel Computing Services (PCS) environments. Focused on platform scalability, hybrid cloud architecture, performance optimization, and operational excellence. Architected and maintained hybrid cloud environments integrating on-premises infrastructure with AWS.