Python Developer

At GBL Tech, we drive high-impact technology careers through specialization and scale. We operate across critical digital ecosystems — from Fintech to Smart Industry — connecting talent with technically challenging projects and modern stacks.

The Role

We're looking for a

Senior Python Engineer

to join a highly technical environment where software engineering, cloud infrastructure, data, and AI come together. This role is aimed at an experienced engineer who can take ownership of complex technical challenges, build reliable services and APIs, and help shape engineering practices across cloud-native platforms.

Your Mission:

Software & API Engineering:

Design and develop high-performance software services and APIs using

Python

and

FastAPI , with a strong focus on clean architecture, scalability, and maintainability.

Cloud Infrastructure:

Engineer and evolve secure cloud environments on

Azure , working with core networking components such as

WAF

and

CDN

from a software engineering perspective.

Infrastructure as Code & Orchestration:

Manage infrastructure through

Terraform

and deploy scalable, containerized services using

Docker

and

AKS/Kubernetes .

Data Engineering:

Build and maintain end-to-end data solutions capable of supporting both batch and real-time processing, working with technologies such as

Kafka

and

Kinesis .

Engineering Excellence:

Drive best practices around software architecture, testing, debugging, performance optimization, observability, security, and production operations across engineering teams.

AI & Modern Systems:

Contribute to

AI-enabled applications , including recommendation or conversational systems, while applying appropriate engineering and evaluation approaches to systems that behave differently from traditional deterministic software.

What We Are Looking For:

Python Expertise:

Strong professional experience with

Python , including the design and development of scalable applications and APIs using

FastAPI .

Cloud & Infrastructure:

Experience with

Azure

and cloud infrastructure, including networking,

WAF , and

CDN .

IaC & Kubernetes:

Strong hands-on experience with

Terraform ,

AKS/Kubernetes , and

Docker , with a focus on scalable and automated infrastructure.

Software Engineering:

Deep understanding of software architecture, testing strategies, version control, troubleshooting, performance tuning, and building high-throughput production systems.

Data & AI:

Experience working with data pipelines and real-time architectures, together with practical exposure to

AI/LLM-enabled applications

and an understanding of their non-deterministic nature.

Technical Leadership:

Ability to influence engineering practices, communicate complex technical concepts clearly, and collaborate with multiple teams in an Agile environment.

CI/CD & Operations:

Experience with

CI/CD , automated deployments, observability, production support, and operational resilience will be highly valued.

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