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: 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 .