Sobre

• Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
• Role Overview
• We are looking for experienced Infrastructure and Backend Engineers to support critical production services running on Google Cloud Platform.
• The role combines GCP infrastructure, Python backend engineering, Cloud Run, Kubernetes, containerized workloads, SQL, and distributed systems. You will take hands-on ownership of deployments, uptime, production incidents, bug fixes, and support across highly concurrent workloads.
• CONTRACT: Short-term contractor assignment, 3 months
• COMMITMENT: 8 hours per day with 6–8 hours of PST overlap
• LOCATIONS: Remote — LATAM
• PROCESS: Resume review followed by a delivery interview
• Key Responsibilities
• Manage and monitor production deployments on GCP.
• Maintain reliability, uptime, and performance across distributed services.
• Support and troubleshoot workloads running on Google Cloud Run.
• Debug backend, infrastructure, and deployment issues.
• Maintain and improve Python-based production services.
• Troubleshoot failures across highly concurrent workloads and large container fleets.
• Work with Kubernetes and containerized production environments.
• Respond independently to operational incidents and technical support requests.
• Collaborate with engineering and operations teams on service improvements.
• Document recurring issues, fixes, deployment procedures, and operational runbooks.
• At least 5 years of hands-on experience in infrastructure engineering, backend engineering, or production systems.
• Strong production experience with Google Cloud Platform, particularly Cloud Run.
• Advanced Python backend development experience, including debugging and maintaining production services.
• Strong hands-on experience with Kubernetes and containerized workloads.
• Strong knowledge of SQL databases and distributed systems.
• Experience operating highly concurrent production workloads.