Python Engineer (ONLY LOCCAL TO AZ)

Position Overview

We are seeking a highly skilled Senior Python Engineer with deep expertise in building scalable backend systems, APIs, and cloud-native applications. This role is engineering-first and requires someone who can design, develop, and troubleshoot complex Python applications from scratch without relying heavily on AI-assisted coding tools.

While experience with Generative AI, LLMs, or AI-powered applications is desirable, the primary focus is identifying a strong software engineer with exceptional Python development skills, strong system design capabilities, and proven experience building production-grade solutions.

Key Responsibilities

• Design, develop, and maintain scalable Python applications and backend services.
• Build and support REST APIs, microservices, and distributed systems in production environments.
• Develop high-quality, maintainable, and testable code following software engineering best practices.
• Participate in architecture discussions, system design reviews, and technical decision-making.
• Troubleshoot complex application, performance, and scalability issues.
• Build and maintain CI/CD pipelines and deployment automation.
• Work closely with product, engineering, data, and infrastructure teams to deliver reliable solutions.
• Contribute to code reviews, mentoring, and engineering standards.
• Support modernization efforts involving AI-powered applications and intelligent automation platforms.

Required Qualifications

Core Python Engineering (Most Important)

• 8+ years of professional software engineering experience.
• 6+ years of hands-on Python development experience.
• Demonstrated expertise in:
• Object-Oriented Programming (OOP)
• Design Patterns
• Data Structures & Algorithms
• Exception Handling
• Concurrency & Parallel Processing
• Performance Optimization
• Testing Frameworks
• Debugging & Troubleshooting
• Ability to develop solutions from scratch without heavy dependence on AI coding assistants.
• Strong understanding of Python internals and advanced language features.

Backend Engineering

• Extensive experience building:
• REST APIs
• Microservices
• Backend Services
• Event-driven applications
• Experience with:
• FastAPI
• Flask
• Django
• SQLAlchemy or equivalent ORM frameworks

Cloud & Platform Engineering

• Hands-on experience with AWS, Azure, or GCP.
• Experience deploying and supporting production workloads.
• Strong knowledge of:
• Docker
• Kubernetes
• Git
• CI/CD pipelines
• Monitoring and Observability

Data & Database Experience

• Strong SQL skills.
• Experience with relational databases and data modeling.
• Experience designing and supporting data processing workflows.

Preferred Qualifications

• Experience delivering at least one production AI/GenAI solution.
• Familiarity with:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Vector Databases
• LangChain
• LangGraph
• CrewAI
• AutoGen
• Exposure to MLOps, MLflow, Databricks, Spark, Kafka, or similar technologies.
• Experience building AI-enabled business applications.