Cloud Platform Team Lead

Fetcherr

. Build and evolve a highly scalable, Kubernetes-native, self-service platform.

Posted 11/3/2026full-timeNetanya • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Platform Engineering and DevOps with a strong focus on Kubernetes-native solutions, Infrastructure as Code, and multi-cloud environments. Proven ability to lead and mentor engineering teams while fostering a culture of operational excellence and continuous improvement.

Highest-signal resume keywords

Kubernetes In ProductionPlatform Engineering LeadershipInfrastructure As CodeFluency In Python, Go, And BashMulti-Cloud Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesInfrastructure As CodeTerraformGitOpsHelmPythonGoBashCloud SQLBigQuery

Soft Skills

MentoringTeam LeadershipOperational ExcellenceProblem-SolvingCulture Of Learning

Tools & Technologies

GKEArgoCDAI-Assisted DevelopmentPolicy-As-CodeDORA-Based Delivery Measurement

Industry Keywords

Cloud-NativeSelf-Service InfrastructureObservabilityService Level ObjectivesBlameless Postmortems

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudKubernetesPythonRaySQLTerraformGo

About the role

Key responsibilities & impact

Build and evolve a highly scalable, Kubernetes-native, self-service platform.
Empower cross-functional teams with secure, automated development pathways.
Modularize infrastructure into a decoupled, scalable architecture supporting independent service lifecycles.
Implement an Everything as Code strategy for infrastructure, policy, and configuration.
Foster operational excellence through observability, Service Level Objectives, operational hygiene, and safety.
Lead transformation toward a self-service infrastructure platform, targeting reduced deployment lead times and increased adoption.
Implement platform-wide observability and SLO monitoring for 99.9% uptime of core services.
Grow and lead the Platform Engineering team into a high-scale, autonomous unit.
Define technical ownership for core infrastructure and scale the global team.
Mentor, hire, and develop engineers while maintaining sustainable delivery practices.
Stay hands-on to build technical trust and make difficult technical decisions.

Requirements

What you’ll need

A strong record in Platform Engineering / DevOps, with deep hands-on Kubernetes in production.
Proven experience leading engineers: mentoring, hiring, and growing a team.
Strong cloud-native and Kubernetes-native mindset, including declarative approaches, GitOps, controllers, and abstraction.
Fluency in Python, Go, and Bash sufficient to build tooling and review the team's work.
Hands-on experience with multi-cloud at production scale, including GKE, Cloud SQL, and BigQuery.
Fluency in Infrastructure as Code, including Terraform and KCC.
Experience with Helm and GitOps delivery, including ArgoCD or similar.
Product mindset toward platform engineering, treating internal engineers as customers and self-service as the goal.
Point of view on AI-assisted and spec-driven development and safe implementation.
Culture of learning from failure, including blameless postmortems, root-cause analysis, and systemic fixes.
Nice to have: Multi-cloud experience with AWS/Azure.
Nice to have: Policy-as-code and supply-chain/CI security.
Nice to have: SLO/error-budget practice and DORA-based delivery measurement.
Nice to have: Big Data or MLOps exposure, including Airflow, Dagster, Ray, or Kubeflow.