I’ve delivered predictive models that drive growth, cut through inefficiency, and help businesses run smarter. Resume Trick offers a bunch of free templates for resume that cater to different industries and roles. If you’re worried you’ll forget something important, give an online resume helper a try. Senior Python Developer who pays attention to the details and loves building web apps that work. Think of your senior Python developer resume as your secret weapon. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools.
- Build primarily in Python while contributing to React and TypeScript frontend work.
- Integrating Git into the development workflow ensures code reliability, traceability, and overall project stability.
- I am eager to contribute to JobTestPrep’s R&D team.
- Develop and maintain Python applications performing SQL/CRUD operations, file extraction/transformation/generation (CSV, XML, JSON, PDF), and email integration.
Python Developer to work across various tech stacks, focusing on backend services and mobile app development while being adaptable and eager to learn. Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Integrate PostgreSQL, implement parallel processing, automated testing, data validation, and quality assurance, and maintain well-documented code.
I have over 10+ years of experience Python, SQL, Software Architecture, Docker, Backend Development, RESTful API, NoSQL, Kubernetes .Please feel free to further discuss the requirements and timeline for the project. I will also use AWS services such as CloudFormation, CloudFront, and S3 to ensure smooth deployment and performance. In a recent project, I built a cloud-based learning platform where I used AWS Lambda, SQS, and RDS to handle high traffic and integrated microservices for better scalability.
Partners with product managers and architects, mentors engineers, drives technology strategy, establishes coding standards, and delivers secure solutions supporting regulatory and compliance needs. I have a strong understanding of software development principles, excellent database expertise, and experience with RESTful APIs and web services integration. Collaboration is key, and I have successfully worked with cross-functional teams to gather requirements and deliver clean, maintainable code. As a Senior Engineer, you will create, enhance, and implement scalable, secure https://uvik.io/ solutions utilizing Python and modern cloud platforms. We are looking for an experienced Senior Python Engineer with expertise in Cloud technologies to contribute to a strategic project for one of our key clients.
Can you explain how exception handling works in Python?
Integration with SQL databases for storage and retrieval, along with using Python for microservices through frameworks, adds scalability to data science projects. Employing async principles optimizes resource utilization and enhances overall program performance. Proper understanding of async concepts empowers developers to write efficient and responsive Python code for various applications. Leveraging async frameworks like asyncio simplifies managing concurrent operations.
Optimizing Python code for performance involves identifying and addressing performance issues to improve the speed and efficiency of the code. Circular references occur when two or more objects reference each other, creating a cycle that cannot be detected by reference counting alone. The garbage collector identifies objects that are no longer reachable and deallocates their memory.
Python Developer – Security – Cambridge/London
The finally block always executes, ensuring cleanup or completion tasks. Exception handling in Python involves using try, except, finally blocks. So, I implemented multi-threading in Python to speed up the process. By using decorators, I’ve been able to write cleaner, more efficient, and more secure code.