Lead Python Engineer (Golang, Azure)

We are looking for a Lead Python Engineer to develop, deploy, and operate cloud-native industrial AI software on Kubernetes clusters. This role combines hands-on development with platform and delivery engineering, covering containerization, Helm, CI/CD, and GitOps practices. Responsibilities Develop and maintain backend services and tooling in Python, Go, and scripting languages Build, containerize, and deploy applications to Kubernetes (AKS, GKE) using Docker and Helm Design and improve CI/CD pipelines and GitOps workflows for reliable, repeatable releases Author and maintain Azure DevOps Pipelines for build, test, and deployment automation Support AI-related workloads in production, including model serving, inference pipelines, data integration, and observability Troubleshoot issues across the full stack: application code, containers, cluster configuration, and deployment pipelines Use AI coding tools effectively to accelerate development while maintaining code quality and review standards Monitor and alert on service health using observability stacks (Prometheus, Grafana, OpenTelemetry) in Kubernetes Requirements 6+ years of experience in software engineering, including 1+ year in a leading capacity Strong experience with Docker/containers, Kubernetes, and Helm chart development and cluster configuration Hands-on work with AKS and/or GKE Expertise in CI/CD pipeline design and maintenance, GitOps practices (e.g., Argo CD, Flux, or equivalent), and Azure DevOps Pipelines Proficiency in Python and Go Skills in shell scripting and automation Familiarity with Linux-based container environments Practical experience using AI coding assistants and agentic development tools (e.g., Cursor, GitHub Copilot, or similar) as part of a daily workflow Interest in industrial AI, applying machine learning and AI systems to manufacturing, energy, logistics, or related industrial domains Upper-Intermediate English language proficiency (B2+)