Senior Python Developer

A Senior Python Developer at TRINETIX plays a key role in developing and maintaining applications, focusing on integrating technologies like ChatGPT, AWS GlueJobs, and AWS SageMaker. You'll be responsible for designing machine learning models, implementing ETL processes, collaborating with cross-functional teams to define new features, and ensuring software quality through code reviews and troubleshooting.

To qualify for the Senior Python Developer role at TRINETIX, candidates should have at least 5 years of experience in software development using Python. Hands-on experience with AWS services such as GlueJobs and SageMaker is essential. A solid understanding of machine learning concepts, strong problem-solving skills, and familiarity with web frameworks like FastAPI or Flask will also set you apart.

As a Senior Python Developer at TRINETIX, you will work with various technologies including AWS GlueJobs, SageMaker, and large language models. Having a firm grasp on relational databases like PostgreSQL, web services, and code versioning tools like Git will be critical for the role, alongside knowledge of machine learning frameworks.

TRINETIX is dedicated to fostering career advancement for Senior Python Developers. You'll engage in knowledge exchange with American colleagues, benefit from a culture of personal growth, and can look forward to continuous learning opportunities that align with the latest industry trends and technologies.

At TRINETIX, Senior Python Developers can expect competitive salaries, paid leave, personal advancement opportunities, and the chance to work on innovative projects that push the technological envelope. We also place a strong emphasis on creating a collaborative and supportive work environment.

Share specific examples of projects you've worked on, detailing the frameworks you utilized, like Flask, Django, or FastAPI. Highlight how you applied your Python skills to solve real-world problems and the impact your work had on project outcomes.

Discuss your systematic approach to debugging, perhaps mentioning specific tools or methodologies you use. Highlight instances where you've successfully identified and resolved issues under tight deadlines.

Provide an overview of projects that involved AWS GlueJobs and SageMaker. Explain how you utilized these services for data processing and machine learning model deployment, making sure to focus on specific outcomes achieved.

Emphasize the importance of clean coding practices, code reviews, and following internal documentation standards. Share methods you use to document your code effectively, fostering maintainability for yourself and your teammates.

Explain how you proactively engage with professional development, such as attending workshops, participating in online courses, or following industry influencers. This shows your commitment to continuous learning and adaptation.

Discuss specific projects or applications where you've applied machine learning techniques and NLP technologies. Highlight individual contributions and explain how these technologies improved processes or outcomes.

Share your views on team dynamics and how effective communication and collaboration contribute to successful projects. Provide examples of how you’ve worked collaboratively to define project requirements or solve challenges.

Explain techniques you’ve applied to optimize Python applications, such as code profiling, efficient data handling, and utilizing AWS for scalability. Provide examples where your optimizations improved performance metrics.

Reflect on specific challenges, providing context and detailing the steps you took to address them. Highlight any learning experiences that resulted from overcoming these obstacles, demonstrating resilience and problem-solving skills.

Share your enthusiasm for the role, linking it to your interest in AI and data automation projects. Explain how TRINETIX’s innovative work and culture align with your professional ambitions and values.