Senior Python Software Engineer (ID: 3941)

As a Senior Python Software Engineer, you will: Design, develop, and maintain scalable, secure, and high-quality Python applications following modern software engineering best practices. Build clean, maintainable, and reusable software components using object-oriented programming (OOP) principles and clean architecture. Develop and optimize enterprise applications with a strong focus on code quality, performance, scalability, and maintainability. Design, implement, and manage CI/CD pipelines using Azure DevOps and Azure Release Pipelines to support automated software delivery. Collaborate with cross-functional Agile teams to deliver reliable software solutions aligned with business and technical objectives. Utilize Docker to develop, package, and deploy containerized applications across development and production environments. Manage source code, branching strategies, and collaborative development workflows using Git. Leverage AI-assisted development tools responsibly to improve productivity, code quality, testing, and software maintainability while ensuring secure and compliant usage. Review, validate, and critically evaluate AI-generated code recommendations before integrating them into production systems. Participate in architecture discussions, technical design reviews, and continuous improvement initiatives across the software development lifecycle. Troubleshoot complex production issues, perform root cause analysis, and implement long-term solutions. Mentor team members, contribute to engineering best practices, and promote a culture of technical excellence and continuous learning. What You Bring to the Table: 8+ years of experience in Software Engineering, including 3+ years of hands-on Python development experience. Strong expertise in Python and modern software engineering principles. Solid understanding of Object-Oriented Programming (OOP), inheritance, design patterns, and clean coding practices. Hands-on experience with Azure DevOps, Azure Release Pipelines, and cloud-based development environments. Experience working with Docker and containerized application development. Strong proficiency with Git and modern version control workflows. Experience working in Agile and DevOps delivery environments. Knowledge of cloud fundamentals and modern software deployment practices. Experience using AI-assisted development tools responsibly, with the ability to assess AI-generated code for quality, security, and compliance. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication, collaboration, stakeholder management, and leadership abilities. Fluent English communication skills. You Should Possess the Ability to: Design and develop scalable, maintainable, and secure Python applications. Build automated software delivery pipelines using Azure DevOps and CI/CD best practices. Apply clean architecture, design patterns, and software engineering principles to enterprise applications. Work independently, take ownership…