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Senior Python Developer

Colombia
Python.Core, Amazon Web Services, Azure DevOps, Django, Flask, Microsoft Azure, Python Web REST API, PyTorch, TensorFlow

We are looking for an experienced Senior Python Developer to lead the design, development, and deployment of cutting-edge Python-based solutions for cloud infrastructure management and automation.

As a senior-level engineer, you will play a pivotal role in architecting scalable solutions, integrating AI/ML technologies, and mentoring junior team members to drive innovation and operational efficiency within cloud environments.

Responsibilities
  • Lead Python-based cloud infrastructure management and automation solution design, development, and deployment
  • Architect and deploy scalable infrastructure as code using Terraform and Azure DevOps
  • Integrate AI/ML technologies via API for automated cloud operations such as reporting and orchestration
  • Collaborate with solution architects and devops engineers to translate requirements into programming specifications
  • Oversee the development and deployment of AI models in production for predictive analytics using advanced techniques and Python
  • Implement CI/CD pipelines for automated testing, deployment, and monitoring of applications
  • Mentor junior engineers and provide technical leadership in Python development and cloud architecture
  • Oversee code quality by conducting reviews of Python-based automation
  • Implement security and data protection measures
  • Stay updated with industry trends in Python development, AI/ML, cloud computing, and API integrations
  • Document development processes, code changes, and best practices for training purposes
Requirements
  • 3+ years of experience in Python development focused on cloud automation
  • Proficiency with Python frameworks like Django or Flask
  • Familiarity with AI/ML frameworks like TensorFlow or PyTorch
  • Extensive experience with cloud services from AWS and Azure
  • Strong proficiency in IaC tools like Terraform
  • Experience with AI/ML technology integration in cloud management
  • Knowledge of containerization technologies like Docker and Kubernetes
  • Strong experience in API design, RESTful services, and third-party API integrations
  • Solid understanding of version control, testing, and CI tools like Azure DevOps
  • Strong understanding of security best practices in cloud environments
  • Experience with serverless architectures using AWS Lambda or Azure Functions
  • Familiarity with monitoring tools such as Prometheus or Datadog
  • Proficiency in software design patterns and architectural principles
  • Proficiency in guiding developers on SDK consumption and best practices
  • Understanding of AI technologies and experience with LLMs, RAG, and Prompt Engineering
Nice to have
  • Additional familiarity with AI/ML frameworks TensorFlow or PyTorch
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn