Required Senior DevOps Engineer
Tel Aviv
As a Senior DevOps Engineer, you'll design, operate, and evolve the platform that runs our production environment across AWS, GCP, and Azure, powering hundreds of Java microservices, ML model-serving workloads, and the internal tooling our R&D organization depends on every day.
You'll own:
A multi-cloud, multi-region Kubernetes platform managed as code via Crossplane, Helm, and ArgoCD
CI/CD pipelines (Jenkins, GitHub Actions, Argo Workflows) that deploy, test, and scale workloads across environments
Monitoring, logging, and alerting across the stack (Datadog, Coralogix, Sentry, Wiz), and the on-call rotations that keep it healthy
You'll solve:
High-scale production problems: driving continuous platform and security upgrades across the fleet, under real traffic, without impacting live tenants
The velocity-vs-safety tradeoff: designing GitOps workflows where a single PR can safely impact production across clouds and region
Advanced troubleshooting when production, staging, or dev environments break in unexpected ways
You'll impact:
Every engineer. Our platform is the substrate they deploy on, so your work directly affects their delivery speed
Cost, reliability, and security of the infrastructure that underpins the product our customers pay for
The resilience of our customer experience. The platform you build determines whether thousands of revenue teams can trust us to be there when they need it
The direction of the platform itself. You'll have the autonomy to challenge existing architecture and drive meaningful changes, not just maintain what's already there.
Tel Aviv
As a Senior DevOps Engineer, you'll design, operate, and evolve the platform that runs our production environment across AWS, GCP, and Azure, powering hundreds of Java microservices, ML model-serving workloads, and the internal tooling our R&D organization depends on every day.
You'll own:
A multi-cloud, multi-region Kubernetes platform managed as code via Crossplane, Helm, and ArgoCD
CI/CD pipelines (Jenkins, GitHub Actions, Argo Workflows) that deploy, test, and scale workloads across environments
Monitoring, logging, and alerting across the stack (Datadog, Coralogix, Sentry, Wiz), and the on-call rotations that keep it healthy
You'll solve:
High-scale production problems: driving continuous platform and security upgrades across the fleet, under real traffic, without impacting live tenants
The velocity-vs-safety tradeoff: designing GitOps workflows where a single PR can safely impact production across clouds and region
Advanced troubleshooting when production, staging, or dev environments break in unexpected ways
You'll impact:
Every engineer. Our platform is the substrate they deploy on, so your work directly affects their delivery speed
Cost, reliability, and security of the infrastructure that underpins the product our customers pay for
The resilience of our customer experience. The platform you build determines whether thousands of revenue teams can trust us to be there when they need it
The direction of the platform itself. You'll have the autonomy to challenge existing architecture and drive meaningful changes, not just maintain what's already there.
Requirements:
5+ years in DevOps or platform engineering, with deep AWS experience and proven ownership of high-scale production systems (reliability, performance, and cost optimization)
Strong hands-on with containers and orchestration (Docker, Kubernetes, Helm) in real production, not just demos
Fluent in IaC and GitOps (Terraform, ArgoCD) and CI/CD tooling like Jenkins, GitHub Actions, or Argo Workflows
Solid grasp of cloud security and architecture best practices: building systems that are resilient, scalable, and cost-efficient by default
Comfortable with monitoring and logging stacks (Datadog, Coralogix, Prometheus, Grafana): you design for observability, not bolt it on after
Scripting fluency in Python, bash, or Node.js to automate anything that shouldn't be done twice
Linux at a systems level: you can troubleshoot DNS, iptables, or systemd issues without hesitation
Clear communicator who collaborates across R&D, Security, and Product, documents decisions, and follows through on delivery, from RFC to rollout
Bonus: experience with big-data infrastructure, Java/JVM services, or multi-cloud (GCP/Azure).
5+ years in DevOps or platform engineering, with deep AWS experience and proven ownership of high-scale production systems (reliability, performance, and cost optimization)
Strong hands-on with containers and orchestration (Docker, Kubernetes, Helm) in real production, not just demos
Fluent in IaC and GitOps (Terraform, ArgoCD) and CI/CD tooling like Jenkins, GitHub Actions, or Argo Workflows
Solid grasp of cloud security and architecture best practices: building systems that are resilient, scalable, and cost-efficient by default
Comfortable with monitoring and logging stacks (Datadog, Coralogix, Prometheus, Grafana): you design for observability, not bolt it on after
Scripting fluency in Python, bash, or Node.js to automate anything that shouldn't be done twice
Linux at a systems level: you can troubleshoot DNS, iptables, or systemd issues without hesitation
Clear communicator who collaborates across R&D, Security, and Product, documents decisions, and follows through on delivery, from RFC to rollout
Bonus: experience with big-data infrastructure, Java/JVM services, or multi-cloud (GCP/Azure).
This position is open to all candidates.
