Senior DevOps Architect

We are looking for an experienced Senior DevOps Architect / Cloud Solution Architect who combines strong hands-on engineering expertise with the ability to design modern Cloud and DevOps architectures.

Requirements

• 5+ years of hands-on experience in DevOps / Cloud Engineering
• At least 1 year of practical experience designing DevOps or Cloud architectures
• Strong hands-on and architecture-level expertise in AWS
• Experience with at least one additional cloud platform — Azure, GCP, or OCI — is a strong advantage
• Strong experience with Kubernetes
• Solid knowledge of CI/CD principles, tools, and architecture
• Strong experience with Infrastructure as Code (IaC), such as Terraform or CloudFormation
• Experience with configuration management and automation tools
• Strong understanding of networking, cloud security, IAM, virtualization, and Linux
• Experience with monitoring, observability, logging, and distributed tracing systems
• Good knowledge of Git, branching strategies, and modern software delivery practices
• Understanding of AI/ML and Generative AI infrastructure, workloads, and cloud services
• Experience with AI/ML cloud services or deploying AI workloads is a strong advantage
• Ability to translate business and technical requirements into reliable cloud architecture
• English — Upper-Intermediate (B2) or higher

Your Responsibilities

• Design scalable, secure, highly available, and cost-efficient cloud architectures
• Architect and implement DevOps solutions across AWS, Azure, GCP, and OCI
• Design and improve CI/CD pipelines, Kubernetes environments, Infrastructure as Code, automation, monitoring, and observability
• Design and support infrastructure for AI/ML and Generative AI workloads
• Evaluate and integrate modern AI-powered cloud services and technologies where relevant
• Define technical approaches, architecture patterns, and DevOps best practices for customer projects
• Participate in technical discovery, architecture discussions, and solution design with customers
• Assess existing customer environments and recommend modernization, migration, and optimization approaches
• Support engineering teams during implementation and help resolve complex technical challenges
• Contribute to security, reliability, performance, and cost optimization of cloud environments
• Keep up with emerging Cloud, DevOps, and AI technologies and evaluate their practical application in customer solutions
• Participate in technical discussions and knowledge sharing within the Profisea engineering team

What We Offer

• Competitive compensation
• Fully remote work
• Flexible working hours
• Diverse international projects across AWS, Azure, GCP, and OCI
• Opportunity to work with modern Cloud, DevOps, AI, and Generative AI technologies
• Support for professional development and cloud & AI certifications
• Knowledge sharing and collaboration with experienced Cloud and DevOps engineers
• Professional growth and opportunities to expand your architecture and consulting expertise