DevOps Team Leader

Fetcherr

full-time

Posted on: 9/4/2025

Location: Florida • 🇺🇸 United States

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Senior

AirflowCloudGoogle Cloud PlatformGrafanaJenkinsKubernetesPrometheusPythonSQLTerraform

About the role

Lead, mentor, and grow a team of DevOps engineers, fostering a culture of ownership, excellence, and continuous improvement
Architect, maintain, and optimize cloud infrastructure on Google Cloud Platform (GCP) for scalability, performance, and security
Oversee Kubernetes and Terraform environments in production, ensuring high availability and efficient deployments
Drive automation in CI/CD pipelines, release processes, and infrastructure management
Implement and maintain robust monitoring, alerting, and logging systems (Prometheus, EFK, GCP Monitoring) to ensure proactive incident detection and resolution
Collaborate with development, data, and product teams to design and deliver infrastructure that meets evolving product and customer needs
Establish infrastructure as code (IaC) standards and ensure consistent adoption across the team
Manage and improve internal tooling for infrastructure, deployments, and developer productivity
Stay up to date with emerging technologies and evaluate their potential impact on the platform

6+ years in DevOps, Site Reliability Engineering, or Software Configuration Management roles
2+ years in a team leadership or management position, with proven ability to mentor and guide engineers
Strong experience managing Kubernetes in production and writing/maintaining complex Helm charts
Proven expertise in Terraform and Infrastructure as Code principles
Proficiency in Bash, Python, and at least one additional scripting or programming language
Hands-on experience with GCP services and deployments
Experience with CI/CD tools and pipelines (ArgoCD, Jenkins, GitLab CI, etc.)
Solid monitoring and alerting background with Prometheus, Grafana, and GCP Monitoring
Strong problem-solving skills and the ability to handle production incidents calmly and effectively
Excellent communication skills, with the ability to work cross-functionally and present technical concepts to both technical and non-technical audiences
Nice to have: Experience with ArgoCD or Kubernetes operator development
Nice to have: Exposure to Big Data or ML Ops environments
Nice to have: Familiarity with Airflow, Kubeflow, or MLFlow
Nice to have: DBA experience and strong SQL skills
Nice to have: Experience in Agile/Scrum environments