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Join Wonderful as a Senior DevOps Engineer to build and operate cloud infrastructure across AWS, Azure, and GCP.

Location
Tel Aviv, HQ
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 1 month ago

First seen on Joblaze 1 week ago

Last verified on the company career page 5 days ago

Apply at Wonderful → Save job Scanned from wonderful.ai

AI in the day-to-day

Partner with product and AI teams to productionize workloads and integrate model providers and supporting services.

Requirements

Experience
5+ years

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

How much experience is required?
At least 5 years of relevant experience for this DevOps Engineer role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Argo CD, Azure, Docker, GCP, GitOps.
What seniority level is this role?
Wonderful targets senior candidates for this position.
Is this full-time or contract?
Full-time for this DevOps Engineer role at Wonderful.

From the original posting

What You'll Do

  • 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.

What We're Looking For

  • 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.

Candidate Privacy Notice

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