DevOps Team Lead

Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

We are looking for a Dev Ops Team Leader to guide our growing Dev Ops team in building and maintaining highly available, scalable, and automated infrastructure.

• Lead, mentor, and grow a team of Dev Ops engineers, fostering a culture of ownership, excellence, and continuous improvement
• Architect, maintain, and optimize our 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 our platform

• 6+ years in Dev Ops, 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, Git Lab 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

• Experience with ArgoCD or Kubernetes operator development
• Exposure to Big Data or ML Ops environments
• Familiarity with Airflow, Kubeflow, or MLFlow
• DBA experience and strong SQL skills
• Experience in Agile/Scrum environments