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Senior Python Developer

Job description

As a Python Developer you’ll be part of the development of the core service-oriented architecture.

We’re looking for experienced Senior Python Developers who have the appetite for solving complex and interesting problems.

Requirements

How You'll Contribute

Build Software & APIs: Build software services and APIs using Python frameworks (ideally FastAPI) to create smooth, reliable data processing and deployment experiences.
Cloud Infrastructure Engineering: Design and maintain secure cloud infrastructure from a software engineering perspective, handling core networking components like WAF and CDN.
Deploy & Orchestrate: Use Terraform to manage infrastructure as code and deploy scalable services using Kubernetes (specifically AKS) and Docker.
Build & Maintain Pipelines: Implement end-to-end data solutions , ensuring data flows correctly across real-time (Kafka/Kinesis) and batch architectures

?We're Looking for Someone Who...

Bridges Data and Software Engineering: You have a solid understanding of engineering and architectural principles, applying a software engineer's mindset to solve complex infrastructure and data modeling challenges.
Has Senior-Level Impact: You bring a minimum of 5 years in data roles with a track record of end-to-end delivery in fast-paced environments.
Values Collaboration: You collaborate on CI/CD workflows and are an excellent communicator capable of translating technical concepts to leadership and partners in English.

Your Technical Toolkit:

Cloud & Networking: Deep experience with Azure and cloud infrastructure (Networking, WAF, CDN), alongside solid exposure to AWS and GCP.
IaC & Containers: Proficient in Infrastructure as Code using Terraform , with strong hands-on experience in AKS / Kubernetes and Docker.
Programming & APIs: Strong Python development skills, with deep expertise in organizing projects and building web services using frameworks like FastAPI.
Data Engineering Stack: Strong understanding of data modeling methodologies (Kimball, Inmon, Data Vault) and hands-on experience with platforms like Databricks , Snowflake , Airflow , and streaming technologies (Kafka / Kinesis),

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