DevOps Engineer

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

• 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 .