Internship Graduate Python Developer Jobs (NOW HIRING)

Role Summary

We are seeking a motivated Junior to Mid-level Full Stack Python Engineer eager to grow their skills building end-to-end software systems in a collaborative, fast-paced environment.

This is not a scripting-only or task automation role. We are looking for a software engineer who can contribute to the design and development of complete application systems — spanning backend services, APIs, and supporting frontend integration layers — with a strong foundation in Python-based backend engineering.

The ideal candidate is beginning to develop instincts around:

• system design and application structure
• backend service development and REST APIs
• data flow across application layers
• cloud-hosted application behavior
• production reliability fundamentals
• collaborative, team-oriented engineering practices

This role is ideal for engineers who are ready to move beyond coursework or early-career scripts and grow into building production-grade software systems under senior mentorship. The environment is Azure-hosted, container-first, and supports operationally critical enterprise workloads.

What You'll Contribute To

Full Stack Application Development (Guided)

• Contribute to full-stack applications with Python-based backend services and supporting UI layers
• Develop and maintain RESTful APIs and backend services under senior engineering guidance
• Support frontend integrations (React/JavaScript or equivalent) to enable end-to-end functionality
• Write modular, readable, and maintainable code following established patterns and standards
• Participate in translating business requirements into working software components

Python Backend & Service Engineering

• Implement Python backend services and contribute to distributed processing systems
• Build and maintain components within microservices-based architectures
• Learn and apply event-driven and asynchronous processing patterns
• Write code designed with awareness of:
  • resiliency fundamentals
  • scalability considerations
  • fault isolation principles
  • maintainability and clean code standards

Data Processing & Workflow Support

• Contribute to systems that process files and support long-running workloads
• Implement foundational patterns including:
  • basic retry and error handling logic
  • data validation and processing pipelines
  • idempotent processing fundamentals
• Learn to build components that remain stable under real-world system conditions with senior oversight

Cloud-Native & Containerized Application Fundamentals

• Work with containerized Python applications using Docker
• Gain hands-on exposure to:
  • Azure Kubernetes Service (AKS)
  • Azure Container Apps
• Develop understanding of:
  • container-based deployments
  • horizontal scaling concepts
  • observability and monitoring basics

Workflow Automation Exposure

• Support distributed workflows built on Apache Airflow or equivalent orchestration tools
• Contribute to queue-based and worker-based processing components
• Learn to build workflow components that are observable, recoverable, and production-safe

CI/CD & Operational Foundations

• Contribute to CI/CD pipelines for application services
• Implement basic logging, monitoring hooks, and alerting integrations
• Develop habits around code quality, testing, and production observability

Required Experience & Skills

• 1–3 years of professional software engineering experience (internships and strong project portfolios considered)
• Foundational hands-on proficiency in Python (Python 3.x)
• Experience building or contributing to multi-layer applications (backend + API or backend + frontend)
• Exposure to REST API design and development
• Basic understanding of system design principles:
  • service separation and modularity
  • API-first thinking
  • asynchronous processing concepts

Technical Skills (Foundational Proficiency Expected)

• Python
• REST API development
• Docker (basic container concepts)
• SQL databases (PostgreSQL / MySQL / SQL Server)
• Git / GitLab
• Linux command-line basics
• JavaScript / React (introductory exposure)

Azure Exposure (Learning Path — Not Required on Day One)

• Azure Kubernetes Service (AKS)
• Azure Container Apps
• Azure Service Bus
• Azure Storage Accounts
• Azure Key Vault
• Azure Monitor / Application Insights

Nice to Have

• Academic or project exposure to Redis or caching concepts
• Familiarity with search/indexing systems
• Exposure to workflow orchestration tools (Airflow, Prefect, or equivalent)
• Interest in enterprise-scale distributed systems
• Healthcare or regulated-industry coursework or experience a plus

Ideal Candidate Profile

The ideal candidate is an emerging full-stack engineer who:

• is passionate about building real, working software — not just scripts
• has strong Python foundations and wants to deepen backend engineering skills
• is curious about distributed systems and cloud-native architecture
• writes clean, testable, and maintainable code
• communicates clearly and collaborates well in a team setting
• is self-motivated and takes ownership of their learning and contributions
• understands that great software is defined not just by correctness, but by how it behaves under real-world conditions

This role offers structured mentorship, hands-on Azure exposure, and a clear path to senior-level growth within a mission-driven healthcare technology environment.