$ cat jobs/staff-devops-engineer-cieloprojects-8c16777f62a4.json
Staff DevOps Engineer
Velotic™ is a leading independent industrial software company providing data‑driven solutions that improve manufacturing efficiency, productivity, and operational insight. Serving customers across manufacturing, oil & gas, utilities, and infrastructure, the company generates more than $300 million in revenue. Velotic’s portfolio, anchored by Proficy, Kepware, and ThingWorx, supports the growing data and performance requirements of industrial operators globally, with an emphasis on AI‑enabled manufacturing and industrial software. We are seeking a highly skilled and experienced Staff DevOps Engineer to join our Smart Factory Cloud Team. This role requires deep expertise in AWS, cloud infrastructure, automation and CI/CD practices to support and enhance our enterprise SaaS platform. The ideal candidate will have a strong hands-on background in building and managing scalable, secure and resilient cloud environments, with a strong passion for process optimization and automation. Key Responsibilities: • Design, implement and maintain highly scalable and secure cloud environments on AWS. • Manage and optimize AWS services including VPC, EC2, EKS, RDS, AppStream and other key cloud components. • Develop and maintain CI/CD pipelines using GitHub, GitHub Actions, Jenkins, ArgoCD and GitOps methodologies. • Define and implement Infrastructure as Code (IaC) using Terraform/OpenTofu, Crossplane or CloudFormation. • Establish and improve monitoring and alerting solutions using OpenTelemetry (Otel), SignalFX, CloudWatch and Splunk. • Develop automation scripts and tools using GitHub Actions, Jenkins or other scripting languages. • Basic troubleshooting and optimize PostgreSQL, SQL and RDS databases for performance and reliability. • Enforce security best practices in cloud environments and advocate for secure SDLC processes. • Drive adoption of ITIL and Agile methodologies to ensure efficient operations and incident management. • Collaborate with cross-functional teams in a geogr
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