דרושים » תוכנה » מהנדס /ת DevOps - קיסריה!

We are looking for an experienced DevOps Engineer to join our team.
If you are passionate about building scalable DevOps infrastructures, automating deployment
processes, and working with modern cloud-native technologies, this role is for you
Responsibilities
Design, implement, and maintain DevOps processes based on industry best practices.
Build and maintain CI/CD pipelines using tools such as Jenkins and Azure DevOps.
Implement and manage Infrastructure as Code (IaC) solutions.
Develop automation scripts using Bash, Python, PowerShell, Groovy, or Batch.
Manage and support containerized environments using Docker and Kubernetes.
Work with Git-based workflows, including GitOps methodologies.
Support secure development processes (DevSecOps).
Collaborate closely with development teams and other cross-functional teams to improve the
software development lifecycle.

We're looking for a Sr. DevOps Engineer to help reshape how our infrastructure and delivery pipelines are built - not just automating tasks, but engineering the platforms and AI-assisted tooling that let our engineers ship faster, safer, and with more confidence. You'll report to the DevOps Sr. Manager.

This isn't a "keep the lights on" role. You'll take real ownership of how our CI/CD and infrastructure evolve, with the autonomy to decide where AI-assisted tooling (copilots, LLM-driven diagnostics, intelligent automation) can remove toil and accelerate the software delivery lifecycle for the teams that depend on us. If you like turning messy, manual processes into reliable, self-service platforms, you'll feel at home here.


Location
Working at least 3 days a week from the office in Caesarea


What you will be doing:

Operate and extend our Kubernetes and container-based platforms, orchestrating deployments across AWS.
Own and evolve CI/CD pipelines spanning Debian packaging, container orchestration, and cloud-native deployments - increasingly augmented with AI-assisted testing, anomaly detection, and self-healing automation.
Design and build Python modules, tools, and services that power our CI frameworks, packaging processes, and operational automation - with AI coding assistants (e.g., Claude Code, Copilot) as a standard part of your workflow for scaffolding, refactoring, and code review.
Partner with development teams to diagnose and resolve complex issues across build systems, APIs, and dev environments, leveraging AI-assisted log analysis and root-cause tooling to cut time-to-resolution.
Maintain and improve automated build/test pipelines using Jenkins and Argo Workflows.
Apply infrastructure-as-code practices with Terraform, ArgoCD, and Helm to keep environments reproducible and easy to reason about.
Explore and pilot AI-driven observability and incident-response tooling (e.g., anomaly detection on metrics/logs, automated runbook suggestions) to make our systems more self-diagnosing over time.
Champion the use of AI/LLM tooling to eliminate manual, repetitive DevOps work - and share what works so the whole team levels up.