only local to MD- Python Programmer

Assist in the design, development, testing, and maintenance of web applications and APIs using Python and modern development frameworks.

Support development of RESTful APIs and backend services.

Contribute to data processing, automation, and AI-assisted workflows.

Collaborate with senior developers and business analysts to translate functional requirements into technical solutions.

Write clean, maintainable, and well-documented code following secure coding practices.

Develop and execute unit tests and assist with integration testing.

Participate in code reviews and Agile ceremonies.

Support application troubleshooting and issue resolution in development and test environments.

Adhere to all security, Project Management Office (PMO), change control, work management, service delivery policies, processes, tools, and methodologies.

Note: The candidate must be flexible to work overtime as needed, including weekends, holidays, and off-hours.

Minimum Qualification

A minimum of three (3) years of professional experience in software development (internships count toward experience).

Experience with Python programming.

Experience developing or consuming REST APIs.

Good understanding of relational databases (PostgreSQL, MySQL, or similar) and writing SQL queries.

Familiarity with version control tools such as Git, JIRA.

Good understanding of object-oriented programming principles.

Strong analytical and problem-solving skills.

Ability to work in a collaborative Agile team environment.

Preferred Qualification

A minimum of two (2) years of experience with Python frameworks such as FastAPI, Flask, or Django.

Exposure to AI/ML libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch.

Experience integrating AI APIs (e.g., OpenAI, AWS AI services, Azure AI, etc.).

Experience with automation scripting or workflow automation.

Familiarity with cloud platforms (AWS, Azure, or Google Cloud).

Experience building or consuming microservices.

Experience working with containerization tools such as Docker.

Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins).

Basic knowledge of API security and authentication (OAuth2, JWT).

Exposure to front-end technologies (JavaScript, React, or Angular).

Experience working on data-driven or public-facing applications.

Strong interest in AI-enabled application modernization in government systems.