DevOps Engineer

At Runibex, we help businesses solve complex challenges through technology, combining deep engineering expertise with a practical, hands-on approach. Across Cloud, Commerce, and Product Development, we design, build, and operate business-critical systems. As both a technology services provider and a software product company, we combine the expertise of managing critical systems with the innovative mindset of building new ones. We are looking for a DevOps Engineer with strong AWS expertise and advanced hands-on experience in Zabbix to join our team. In this role, you will play a key part in designing, managing, and optimizing cloud infrastructure, with a particular focus on building and maintaining reliable monitoring, alerting, and observability solutions using Zabbix across AWS, hybrid, and on-premises environments. The ideal candidate will bring solid DevOps engineering skills, a proactive problem-solving mindset, and a strong commitment to automation, system reliability, and continuous improvement. What You’ll Do • Contribute to the design and optimization of scalable, reliable, and secure system architectures on AWS. • Design, implement, and maintain infrastructure automation solutions to improve operational efficiency. • Build and support infrastructure and developer tools to streamline application development and deployment processes. • Design and maintain automated build, test, and release pipelines to support continuous integration and delivery. • Take ownership of Zabbix-based monitoring solutions, including their design, implementation, operation, and continuous improvement across AWS, hybrid, and on-premises environments. • Ensure effective monitoring, alerting, and observability to proactively identify performance issues and maintain system availability. • Troubleshoot and resolve system, network, and infrastructure issues in a timely manner. • Conduct root cause analysis of critical incidents and implement preventive measures through automation and process improvements. • Assess and continuously improve application and infrastructure security within AWS environments. What We’re Looking For Education & Experience • Bachelor's degree in Computer Engineering, Mathematics, Industrial Engineering, or a related field. • Minimum 4 years of experience in DevOps engineering or a similar role. • Good command of English, with the ability to communicate effectively in both written and spoken English and understand technical documentation. AWS & Cloud Expertise • Commercial experience in designing, deploying, and managing cloud environments in AWS • Experience with DevOps practices, including infrastructure as code, continuous integration, and automated deployment • Knowledge of AWS cloud platform design patterns and best practices • AWS certification highly preferred (Solutions Architect, DevOps Engineer, or SysOps Administrator) AWS Service Expertise • Hands-on experience with AWS EKS (Elastic Kubernetes Service) • Experience with AWS RDS (PostgreSQL, MySQL, Aurora) • Experience with AWS EC2, Auto Scaling Groups, and Launch Templates • Experience with databases: Amazon RDS, DynamoDB, DocumentDB (MongoDB-compatible), ElastiCache • Experience with AWS Lambda and serverless architectures • Experience with Amazon S3, EBS, and EFS • Optional: Experience with AWS OpenSearch (formerly Elasticsearch Service) AWS Networking & Security • Experience in provisioning and configuring AWS VPC, Subnets, Route Tables, NAT Gateways • Experience with AWS Application Load Balancer, Network Load Balancer, AWS CloudFront • Experience with AWS WAF (Web Application Firewall) • Experience in secure connectivity: AWS VPN (Site-to-Site), Direct Connect, Transit Gateway • Knowledge of AWS IAM, Security Groups, NACLs, and AWS Secrets Manager Containers & Orchestration • Experience with containers and container orchestration using Docker and Kubernetes • Hands-on experience with AWS EKS (Elastic Kubernetes Service) • Experience with Amazon ECR (Elastic Container Registry) • Experience with AWS Fargate for serverless containers Infrastructure as Code & Configuration Management • Strong experience with Terraform for AWS infrastructure provisioning • Experience with AWS CloudFormation • Experience with Helm for Kubernetes package management • Experience with configuration management tools (Ansible, Chef, or Puppet) CI/CD DevOps Tools • Experience with CI/CD pipeline implementation using AWS CodePipeline, CodeBuild, CodeDeploy • Experience with Jenkins, GitLab CI/CD, or GitHub Actions • Experience with version control systems, particularly Git Monitoring & Logging • Strong hands-on experience with Zabbix is essential: server and proxy deployment, custom templates, items and triggers, low-level discovery, and alert escalation • Experience with AWS CloudWatch (Logs, Metrics, Alarms) • Experience with logging and monitoring systems such as ELK Stack, Prometheus, Grafana • Experience with AWS X-Ray for distributed tracing • Experience implementing meaningful alerting systems using CloudWatch Alarms and SNS Operating Systems & Scripting • Hands-on experience installing, configuring, and operating Linux servers (Amazon Linux, Ubuntu, RHEL) • Experience with Windows Server on AWS EC2 • Strong scripting skills: Python, Bash, PowerShell • Basic knowledge of querying languages (SQL) Development & Programming • Knowledge of common programming languages used in modern web application development: Python, Node.js, Go, Java, C#, or PHP • Understanding of application architecture and deployment patterns Project Management • Experience in managing multiple projects and deadlines • Experience with project management tools: JIRA, Confluence Nice to have • Experience with AWS Data Analytics stack: AWS Glue, Amazon Athena, Amazon Redshift, AWS Data Pipeline, Amazon Kinesis • Experience with AWS Step Functions for workflow orchestration • Experience with Amazon EventBridge for event-driven architectures • Experience with AWS Systems Manager (SSM) for fleet management • Knowledge of AWS Cost Optimization strategies and tools • Experience with AWS Backup and disaster recovery strategies