What are the responsibilities and job description for the Python Programmer position at TalentBurst, Inc.?
Job Title : Python Programmer
Location : Painted Post, NY (Remote), worker can be located anywhere in US, but must work EST hours
Duration : 09 Months
Job Description :
5-7 years of proven Python programming experience.
Bachelors preferred but not required.
Job Summary :
As a Manufacturing Cyber Security Python Programmer at Client, you will be responsible for designing, developing, and maintaining Python-based applications. You will work closely with cross-functional teams to deliver high-quality software solutions that meet client requirements. Your role will involve both back-end and front-end development, ensuring seamless integration and optimal performance.
Key Responsibilities :
Support existing proprietary Python applications, scripts, and tools.
Develop and maintain Python applications, scripts, and tools.
Write clean, efficient, and reusable code following best practices.
Collaborate with software engineers, cyber security engineers, and other stakeholders to define project requirements and specifications.
Design and implement scalable and robust software solutions.
Debug and resolve technical issues, ensuring the stability and performance of applications.
Perform code reviews and provide constructive feedback to team members.
Stay up to date with the latest industry trends and technologies to continuously improve skills and knowledge.
Document software development processes and code for future reference.
Education :
Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience).
Qualifications :
5-7 years proven experience as a Python Programmer or similar role.
Strong proficiency in Python web frameworks (e.g., Django, Flask) and common libraries (requests, Pandas, NumPy).
Familiarity with web front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.
Experience with version control systems (e.g., Git).
Knowledge of database systems (e.g., SQL, NoSQL) and data modeling.
Understanding of software development life cycle (SDLC) and agile methodologies.
Excellent critical thinking skills and attention to detail.
Strong communication and teamwork abilities.
Preferred Qualifications :
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
Familiarity with machine learning and data analysis techniques.
Experience with continuous integration and continuous deployment (CI / CD) pipelines.
Travel Requirements :
Up to 5% may be possible
Work Schedule :
40 hours per week, with occasional off-hour support as needed.
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