Senior Python Engineer (Golang, Azure)

We are looking for a Senior Python Engineer to develop, deploy, and operate cloud-native industrial AI software on Kubernetes clusters (AKS, GKE). This role combines hands-on development with platform and delivery engineering, covering containerization, Helm, CI/CD, and GitOps. A Windows laptop is required for this role.

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

• 5+ years of professional experience
• Strong experience with Docker/containers, Kubernetes, and Helm chart development and cluster configuration
• Hands-on experience with AKS and/or GKE
• Expertise in CI/CD pipeline design and maintenance, along with GitOps practices (e.g., Argo CD, Flux, or equivalent)
• Proficiency in 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+)

Benefits

With us you can:

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)