Join Wonderful as a Senior DevOps Engineer to build and operate cloud infrastructure across AWS, Azure, and GCP.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 5 days ago
Skills & Technologies
AI in the day-to-day
Partner with product and AI teams to productionize workloads and integrate model providers and supporting services.
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the DevOps Engineer is responsible for building and managing cloud infrastructure across multiple platforms, while also overseeing Kubernetes environments and CI/CD workflows. Key skills include expertise in AWS, Terraform, and containerization tools like Docker and Helm, along with a solid grasp of Linux and cloud security. This position is ideal for seasoned professionals with over five years of experience in DevOps or platform engineering, particularly those familiar with AI workloads. The company operates in a dynamic startup environment, emphasizing collaboration and innovation.
Joblaze insights
Quick facts
From the original posting
Build and operate cloud infrastructure across AWS, Azure and GCP using Terraform and Terragrunt.
Manage Kubernetes platforms and application delivery using Docker, Helm, Argo CD and GitOps.
Own and improve CI/CD workflows, including builds, automated testing, preview environments, image publishing, deployments and rollbacks.
Monitor production systems through metrics, logs and traces; improve alerting, runbooks, capacity planning and incident response.
Strengthen platform reliability, security, networking, access management, secrets handling, backups and disaster recovery.
Build automation and self-service tools that make it easier and safer for engineering teams to deploy and operate services.
Partner with product and AI teams to productionize workloads and integrate model providers and supporting services.
5+ years of hands-on experience in DevOps, SRE or platform engineering.
Strong practical experience with AWS, Terraform, Kubernetes, Docker and CI/CD systems.
Experience with Helm, Argo CD and GitOps-based delivery.
Solid understanding of Linux, networking, cloud security and production observability.
Ability to automate operational work using Python, Bash or similar tools.
Experience with Azure or GCP is an advantage.
Experience supporting AI workloads, model integrations or data-intensive systems is a plus.
Clear communication in Hebrew and English, strong ownership and a collaborative approach.
Comfortable operating in a fast-moving startup and supporting production systems.