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