דרושים AIOps & Infrastructure Engineer בנתניה

With a startup spirit and 130,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it! We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people.

Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.

Welcome to the relentless pursuit of better.

Inviting applications for the role of AIOps & Infrastructure Engineer!

In this role, you will be responsible for designing and implementing hybrid AIOps and automation solutions, deploying and managing observability tools like Grafana, and integrating AI/ML into operational workflows. You’ll collaborate with platform and SRE teams to support Kubernetes environments and drive intelligent, scalable infrastructure practices.

Responsibilities:

• Design and implement hybrid AIOps and infrastructure automation solutions, focusing on scalable, maintainable, and intelligent operations
• Build and manage Infrastructure as Code (IaC) using tools such as Terraform, Bicep, or Ansible for cloud-native and hybrid environments
• Lead the deployment and integration of Grafana as the primary visualization and observability layer, including alerting, dashboards, and plugins
• Construct and maintain data pipelines for logs, metrics, and traces using Grafana, Prometheus, Loki, and Tempo
• Integrate AI/ML capabilities into operational workflows for tasks such as anomaly detection, pattern recognition, and event correlation
• Collaborate with platform and SRE teams to embed intelligent monitoring into CI/CD pipelines and real-time incident management
• Design and support Kubernetes (AKS) and container-based architectures with automated observability and predictive health scoring
• Continuously evaluate and improve performance, reliability, and efficiency across infrastructure and AI-enhanced monitoring systems
• Stay current with advancements in AI/ML, observability tooling, and infrastructure automation to drive innovation and improvement
• Serve as a cross-functional advisor to help teams adopt AIOps practices and Grafana-powered insights

Minimum Qualifications:

• 6+ years in infrastructure engineering, DevOps, or SRE roles with hands-on IaC and observability experience
• 2+ years of experience building or deploying AI/ML-powered systems in production environments, ideally in operational or performance monitoring domains
• Proven expertise in Grafana (open source or enterprise) including dashboard creation, alert configuration, and data source integration
• Experience with observability stacks such as Prometheus, Loki, Tempo, or OpenTelemetry
• Proficiency with Terraform, Bicep, or other IaC tools to automate infrastructure across cloud platforms (Azure preferred)
• Solid scripting capabilities in Python, PowerShell, or Bash, especially for data transformation and automation
• Familiarity with cloud-native environments, container orchestration, and microservices (e.g., AKS, Docker)
• Strong analytical skills and ability to work with telemetry data from complex distributed systems
• High proficiency in English (spoken and written) and strong communication skills across cross-functional teams

Preferred Qualifications / Skills:

• Experience integrating AI/ML models into observability or incident response pipelines
• Familiarity with AIOps platforms (e.g., Moogsoft, BigPanda, Dynatrace) and their Grafana integrations
• Working knowledge of ITSM/ITIL principles and how AIOps can enhance root cause analysis and response automation
• Microsoft or Azure certifications in DevOps, AI, or infrastructure engineering
• Passion for innovation, mentoring others, and building intelligent systems with real impact