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Sr Python Developer with AKS experience

Cyber 1 ArmorMN🇺🇸United States

Why this role stands out

This hybrid role offers a fantastic opportunity to leverage your Python and AKS expertise within a leading cybersecurity firm, fostering significant career growth and skill development. If you excel at building robust APIs, optimizing SQL, and deploying applications on Azure Kubernetes Service, you'll thrive in this dynamic environment. Apply now to join a forward-thinking team and contribute to impactful projects!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationMN, United States
DjangoFastAPIFlaskSQLAWSSAMLSSOAzureGoogle CloudKubernetesPythonREST

Job description

Urgent Role - Python Web Developer (UI & API) with AKS experience
Location Minneapolis, MN (Hybrid)
Contract

Strong Python development for web and data-driven applications
Ability to design layouts, filters, tabular views, and summaries driven by live database queries
Experience building REST APIs using FastAPI, Flask, or Django REST Framework
Experience with request validation, authentication middleware, error handling
Strong SQL skills; ability to write and optimize queries on relational and analytical databases
Experience connecting Python applications to databases using SQLAlchemy, native drivers, or ORMs
Ability to work with existing schemas, views, and data models
Experience handling concurrent updates, data validation, and controlled write operations
Experience reading and writing PySpark DataFrames
Familiarity running Spark jobs on cloud-based or managed data platforms
Experience deploying and operating applications on Azure (AWS/Google Cloud Platform acceptable)
Experience with cloud databases, secret management, IAM, and private networking
Experience implementing SSO (Entra ID, OAuth2, SAML) and role-based access control (RBAC) in Python applications
Experience writing Dockerfiles for reproducible Python applications
Experience deploying applications to a managed Kubernetes cluster
Experience applying application security best practices and designing resilient, fault tolerant Python services.

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