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+)
