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Python Application Developer

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Onsite

Python Application Developer

Hallmark Global Solutions Ltd

Python Application Developer

Skills

Google Cloud PlatformSQL QueriesMongoDBDockerDjangoFlaskPythonMicroservicesNumPypandasPostgreSQLMySQLGitJenkinsMachine LearningAWSKubernetesFastAPIJavascriptAzure

1 day ago

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Important information


Contract type:

Permanent

Location:

Peoria, IL, USA

Work mode:

Onsite

Published on:

21 October 2026

What they need


Key Responsibilities:

  • Design, develop, and maintain Python-based applications using frameworks such as Django, Flask, or FastAPI.
  • Good knowledge of digital signal processing
  • Build RESTful APIs and integrate them with front-end and data systems.
  • Collaborate with cross-functional teams to define, design, and deliver new features.
  • Write clean, efficient, and reusable code following Python and PEP 8 best practices.
  • Implement testing (unit, integration, and API) and maintain code reliability.
  • Work on database design, optimization, and integration (SQL or NoSQL systems).
  • Debug, deploy, and monitor applications using version control and CI/CD pipelines.
  • Collaborate with DevOps for containerization (Docker) and cloud deployment (AWS/Azure/GCP).
  • Ensure application security, scalability, and performance optimization.

Required Skills and Qualifications:

  • BS or MS in ECE or CS from a prestigious university in the US.
  • 4–8 years of hands-on experience in Python application development.
  • Proficient in frameworks such as Django, Flask, or FastAPI.
  • Strong understanding of object-oriented programming (OOP) and design patterns.
  • Experience with RESTful API development and third-party integrations.
  • Knowledge of SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.).
  • Familiarity with front-end basics (HTML, CSS, JavaScript) for integration.
  • Exposure to containerization and DevOps tools (Docker, Kubernetes, Jenkins).
  • Understanding of Git version control, testing frameworks (pytest/unittest), and agile delivery processes.

Preferred/Good-to-Have Skills:

  • Experience with data processing (Pandas, NumPy) or machine learning integration.
  • Knowledge of microservices architecture.
  • Exposure to cloud technologies and CI/CD automation.
  • Experience working with APIs, security standards, and performance tuning.

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