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Summary
We are looking for a hands-on and experienced
DevOps Engineer to take full ownership of our infrastructure, CI/CD pipelines, monitoring, and alerting systems. You will be responsible for designing and maintaining robust, secure, and automated environments across development and production.
The role includes managing deployments per customer, maintaining cloud resources, and enabling seamless edge-to-cloud data flows. Experience working with
hybrid environments (e.g., edge devicessending data to the cloud) is a plus.
Duties And Responsibilities
- Build and maintain CI/CD pipelines across multiple environments and customers.
- Automated eployments using tools such as Jenkins, GitHub Actions, or GitLab CI.
- Implement infrastructure as code using Terraform or CloudFormation.
- Monitor cloud infrastructure using tools like CloudWatch, Grafana, or Prometheus.
- Define and manage alerting, logging, and incident response flows.
- Support edge-to-cloud integrations (e.g., customer networks pushing data into cloudsystems).
- Collaborate with R&D, QA, and Product teams to support version control, automation testing, and rollout per customer.
- Maintain multi-account AWS environments and enforce best practices.
Education And Experience
- 4+ years of hands-on DevOps experience in a production environment
- Strong experience with AWS (EC2, S3, IAM, VPC, Lambda, CloudWatch)
- Experience with CI/CD pipeline creation and automation
- Proficient inscripting (Python, Bash, etc.)
- Familiarity with Docker and container orchestration (ECS/EKS)
- Solid understanding of networking, security, and cloud infrastructure
- Fluent English (written and spoken)
Other Skills
- Experience managing AWS Organizations and multi-account setups
- Familiarity with edge connectivity concepts (e.g., AWS Greengrass, MQTT)
- Exposure to hybrid environments where data flows from on-premise to cloud
- Experience with Step Functions, EventBridge, or IoT Core
- Background in customer-facing infrastructure or SaaS deployments
- Understanding of cost optimization and tagging strategies in AWS
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