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EPAM
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Lead Python Engineer (Golang, Azure)

EPAMUkraine
Work model
Remote
Experience
6+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
21 tags

Technology context

21

Parsed from the vacancy text; ordered by relevance to this role.

AIFull StackAI-Assisted DevelopmentMachine LearningAzurePythonKubernetesGoBackendDevOpsDockerLinuxCI/CDHelmPrometheusAutomationGrafanaBashAzure DevOpsCursorTest Automation Frameworks

Full listing

Role description

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+)