Python Developer (Only W2) (No C2C) Job at 360 Technology, Dallas, TX

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  • 360 Technology
  • Dallas, TX

Job Description

Job Title: Senior Python Developer – Banking & AI

Location: New Jersey, Texas, North Carolina, Florida

Job Type: Full-Time

Experience Required: 8+ Years

Job Summary:

We are seeking an experienced Senior Python Developer with a strong background in the banking or financial services domain and hands-on exposure to AI/ML technologies . This is a full-time opportunity to work on high-impact, enterprise-grade applications focused on digital transformation in financial services.

Key Responsibilities:

  • Design, develop, and deploy scalable Python applications in a banking environment.
  • Collaborate with data science teams to integrate AI/ML models into production systems.
  • Work with cross-functional teams including business analysts, architects, and DevOps to deliver secure and compliant financial solutions.
  • Develop and maintain RESTful APIs and microservices.
  • Ensure applications meet compliance, security, and performance standards.
  • Write clean, testable, and reusable code following best practices.
  • Participate in Agile/Scrum ceremonies and contribute to sprint planning and delivery.

Must-Have Qualifications:

  • 8+ years of professional software development experience with Python .
  • Strong experience in the banking or financial services domain (e.g., retail banking, investment banking, risk & compliance, trading systems).
  • Experience with AI/ML concepts and integrating machine learning models into applications.
  • Solid understanding of data structures, algorithms, and software architecture .
  • Experience with REST APIs, microservices , and application deployment.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Experience with SQL/NoSQL databases and data modeling.
  • Strong understanding of compliance, security , and regulatory standards in the finance industry.
  • Excellent problem-solving and communication skills.

Preferred Skills:

  • Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with Docker, Kubernetes , and CI/CD tools.
  • Exposure to data pipelines and ETL processes.
  • Financial certifications or coursework (e.g., CFA Level 1, FinTech specializations) are a plus.

Education:

  • Bachelor’s or master’s degree in computer science, Engineering, or related field.

Job Tags

Full time,

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