Cloud Platform Team Lead

Fetcherr

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

Posted 11/3/2026full-timeTel Aviv • 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 BuildingOperational ExcellenceLearning CultureBlameless Postmortems

Tools & Technologies

GKEArgoCDOPAConftestKyvernoAirflowDagsterRayKubeflow

Industry Keywords

Cloud-NativeSelf-Service InfrastructureService Level ObjectivesObservabilityAI-Assisted Development

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 while maintaining organizational standards.
Modularize infrastructure into a decoupled, scalable architecture supporting rapid iteration and independent service lifecycles.
Implement an “Everything as Code” strategy covering 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.
Build and grow the Platform Engineering team into a high-scale, autonomous unit.
Define technical domain ownership for core infrastructure and scale the global team.
Mentor, hire, and grow engineers while encouraging sustainable delivery, autonomy, learning, blameless postmortems, and root-cause improvement.
Remain hands-on enough to earn 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; experience with 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, such as 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 making engineers faster while keeping changes safe to ship.
Culture of learning from failure, including blameless postmortems, root-cause analysis, and systemic remediation.
Nice to have: AWS/Azure multi-cloud experience.
Nice to have: Policy-as-code, including OPA/Conftest or Kyverno, 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.