We are looking for a DevOps Engineer specializing in AWS to work with multiple customers across a variety of projects and industries.

The role includes building AWS environments from the ground up, implementing infrastructure and CI/CD processes, and working closely with customers' development and infrastructure teams.

You’ll gain wide and diverse experience in a dynamic environment, different technologies and architectures, while using AI tools in your daily work and taking part in projects involving AI solutions.

Responsibilities

AWS & Cloud Infrastructure

• Build Greenfield AWS environments, including Organizations, Multi-Account structures, Landing Zones / Control Tower, and SCPs.
• Design and implement AWS infrastructure, including VPC, Subnets, Routing, Transit Gateway, VPN, Security Groups, Route 53, Load Balancers, KMS, and IAM.
• Apply AWS Well-Architected Framework best practices across security, availability, performance, and cost.
• Develop and maintain Infrastructure as Code using Terraform / CloudFormation.
  
  

DevOps & Customer Collaboration

• Build and improve CI/CD processes using tools such as GitHub Actions, Bitbucket, and GitLab.
• Implement and manage Observability and monitoring solutions, including CloudWatch, Prometheus, Grafana, and ELK.
• Support multiple DEV, STG, and PROD environments across several customers.
• Work directly with customers' Development, QA, and Security teams to understand requirements and provide solutions.
• Use AI tools such as Claude Code and Kiro for coding, IaC, automation, and troubleshooting.
• Participate in building infrastructure for AI projects, including Amazon Bedrock and SageMaker.
  
  

Requirements:

Requirements

• 2–3 years of experience as a DevOps Engineer, with hands-on AWS experience
• Practical experience building AWS environments and Networking.
• Experience with AWS Organizations, Multi-Account environments, and IAM.
• Hands-on experience with Infrastructure as Code (Terraform / CloudFormation).
• Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab, or similar.
• Experience with Docker and familiarity with Kubernetes.
• Experience working with Linux and scripting using Bash / Python.
• Regular use of AI tools in day-to-day work.
• Ability to work on multiple projects and customers simultaneously, with strong prioritization and context-switching skills.
• Strong service orientation, interpersonal skills, and customer-facing abilities.
• Ability to work independently and as part of a team, with a strong self-learning mindset.
  
  

Nice to Have

• Experience in a project-based company, consulting firm, or MSP.
• AWS certifications, such as Solutions Architect – Associate, SysOps Administrator, or Advanced Networking.
• Experience with AWS Control Tower / Landing Zone.
• Experience with EKS, Helm, and Argo CD / Flux CD.
• Knowledge of Cloud Security, including SCPs, WAF, GuardDuty, and Security Hub.
• Experience building infrastructure for Agentic AI solutions, including platforms and SDLC processes.
• Familiarity with FinOps and AWS cost optimization.
• Good English, including working with international customers.
• Familiarity with Agile / Scrum methodologies.