Senior Python Backend Architect — Cloud-Native & APIs

EPAM Systems; Colombia; On-site; COP 180,000,000 - 260,000,000; Full time

Benefits offered by this job

Unlimited learning access

Health coverage for you and family

Vision benefit up to COP 200,000

Life Insurance Plan (MetLife)

Medical leave coverage – 100% for up

Job summary

EPAM Systems in Colombia is seeking a Lead Python Engineer to design, build, and maintain scalable backend services using Python on modern cloud platforms. You will lead backend development, shape architecture decisions, and collaborate with cross-functional teams.

The role requires strong Python backend experience, expertise with FastAPI/Flask/Django, and hands-on work with AWS/Azure/GCP, REST APIs, and databases. Opportunity to influence architecture and drive production-readiness.

Qualifications

• Solid background in Python backend development.
• Familiarity with frameworks like FastAPI, Flask or Django.
• Practical experience using AWS, Azure or GCP.
• Proven track record building REST APIs and microservices.
• Sound knowledge of relational and/or NoSQL databases.
• Exposure to CI/CD, testing and modern software engineering practices.
• Excellent analytical and problem-solving abilities.

Responsibilities

• Build backend services and APIs with Python.
• Architect scalable cloud-based solutions and microservices.
• Handle databases, queues, cloud services and integrations.
• Partner with DevOps, QA, product and engineering teams.
• Contribute to architecture discussions and technical decision-making.
• Maintain code quality, security, performance and reliability.
• Assist with deployment, monitoring and troubleshooting of production systems.

Skills

Python backend

Web frameworks

Cloud platforms

REST APIs

CI/CD

Docker & Kubernetes

Tools

Docker

Kubernetes

Job description

EPAM Systems in Colombia is seeking a Lead Python Engineer to design, build, and maintain scalable backend services using Python on modern cloud platforms. You will lead backend development, shape architecture decisions, and collaborate with cross-functional teams.

The role requires strong Python backend experience, expertise with FastAPI/Flask/Django, and hands-on work with AWS/Azure/GCP, REST APIs, and databases. Opportunity to influence architecture and drive production-readiness.