Senior DevOps Engineer (AI)

Location: Ramat Gan, Tel Aviv District, Israel

Company

hirify.global provides a multi-product web creation platform used by millions of developers, designers, and marketers across more than 160 countries.

What you will do

• Own and evolve infrastructure supporting products at global scale, improving security, resilience, performance, and cost efficiency.
• Design and implement cloud architectures across GCP and AWS.
• Build and maintain production-grade Kubernetes platforms, including GKE and EKS, and improve reliability and operational efficiency.
• Set technical direction for CI/CD and infrastructure as code to enable safe and consistent delivery.
• Partner with R&D teams on developer experience, automation, internal platforms, and AI-enabled engineering tools.
• Strengthen observability and incident readiness through monitoring, alerting, operational practices, and systemic improvements.

Requirements

• 5+ years of experience in DevOps, SRE, or platform engineering, including ownership of production systems.
• 3+ years of hands-on Kubernetes experience in production.
• Strong experience with at least one major cloud provider, GCP or AWS, including designing and operating cloud infrastructure.
• Experience building and operating reliable, highly available services.
• Hands-on experience designing and maintaining CI/CD pipelines with tools such as GitHub Actions and Jenkins.
• Strong infrastructure-as-code experience, ideally with Terraform.
• Ability to weigh trade-offs, diagnose complex issues, and turn recurring operational problems into lasting improvements.
• Clear communication skills and experience working across engineering teams.

Nice to have

• Experience supporting 24/7 services, incident response, or on-call operations.
• Experience developing Kubernetes operators or controllers.
• Familiarity with AI agents and applying AI to engineering workflows.
• Experience operating MySQL, MongoDB, or Redis in production.
• Experience improving infrastructure cost, capacity planning, and performance.

Culture & Benefits

• AI-first, data-driven, and human-led working environment.
• Open collaboration across engineering and R&D teams.
• Opportunity to influence products used globally and make a meaningful impact.