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Senior Platform Engineer with Python
EPAMArgentina; Brazil; Chile; Colombia; Costa Rica; Dominican Republic; Ecuador; El Salvador; Guatemala; Honduras; Mexico; Panama; Paraguay; Peru; Uruguay
- Work model
- Remote
- Experience
- 3+ years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 17 tags
Technology context
17Parsed from the vacancy text; ordered by relevance to this role.
TypeScriptNode.jsAILLMAWSPythonDevSecOpsDevOpsDockerTerraformLinuxCI/CDAutomationScrumAnthropic Claude CodeGitHub ActionsPrompt Engineering
Full listing
Role description
We are looking for a Senior Platform Engineer to join one of the world's largest automotive services companies.
You will work within the Engineering Platform Team, responsible for GitHub Enterprise, reusable developer automation, cloud infrastructure, and secure engineering enablement. The project domain covers Developer Platform Engineering, DevSecOps, and Cloud Automation.
As a senior engineer, you will deliver scalable platform automation, improve developer productivity, and contribute to AI-assisted engineering best practices.
Responsibilities
- Design and develop reusable GitHub Actions
- Build and maintain AWS infrastructure using Terraform
- Improve CI/CD pipelines and release automation
- Contribute to DevSecOps, security, compliance, and operational excellence
- Apply AI development standards using Claude Code and GitHub Copilot
- Support fellow engineers through design discussions and code reviews
- Collaborate with Product Owner and Scrum Master on planning and delivery
- Participate in production support and continuous platform improvement
Requirements
- 3+ years of experience in software or platform engineering
- Strong ownership skills and ability to drive tasks to completion independently
- Solid proficiency in Python
- Hands-on experience with AWS and Terraform
- Skills in GitHub Actions, GitHub Enterprise, and CI/CD
- Background in Infrastructure as Code, Docker, and Linux
- Competency in DevSecOps, operating production services, and security tooling (SonarQube, CodeQL, Veracode)
- Familiarity with PagerDuty for incident response
- Daily hands-on experience with Claude Code and/or GitHub Copilot
- Understanding of prompt engineering, LLM fundamentals, and AI-assisted software development
- Ability to apply AI in engineering workflows
- Strong written documentation skills
- Proficiency in English at an Upper-Intermediate level (B2) or higher
Nice to have
- Practical examples of using Anthropic Claude Code in real-world engineering scenarios
- Background in DevOps practices
- Knowledge of TypeScript and/or Node.js