Senior Python Engineer - Direct Client - Quick Interview - Remote - JOBID633

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Python Engineer, remote, with a contract length of "unknown" and a pay rate of "unknown." Requires 8+ years of Python experience, expertise in enterprise applications, and familiarity with cloud platforms.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 18, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#DevOps #Kubernetes #NoSQL #SQL (Structured Query Language) #Python #Databases #Azure #AWS (Amazon Web Services) #Leadership #Docker #GCP (Google Cloud Platform) #Scala #Microservices #Cloud
Role description
Overview We are looking for a Senior Python Engineer with strong hands-on expertise and a proven record of building enterprise-scale applications. This role requires someone who can take ownership of design and implementation, ensuring performance, scalability, and reliability at every stage. Responsibilities β€’ Design, develop, and deploy large-scale enterprise applications using Python. β€’ Optimize systems for performance, scalability, and maintainability. β€’ Write clean, efficient, and reusable code following industry best practices. β€’ Troubleshoot and resolve complex technical issues across distributed environments. β€’ Collaborate with architects, product managers, and cross-functional teams to deliver robust solutions. β€’ Provide technical leadership and mentoring to junior engineers. Requirements β€’ 8+ years of professional software development experience with Python. β€’ Strong background in enterprise-level application design and implementation. β€’ Expertise in building scalable, high-performance systems. β€’ Experience with databases (SQL/NoSQL) and performance optimization techniques. β€’ Familiarity with cloud platforms (AWS, GCP, or Azure). β€’ Solid understanding of data structures, algorithms, and system design. Nice to Have β€’ Experience with microservices, containerization (Docker), and orchestration (Kubernetes). β€’ Knowledge of CI/CD pipelines and DevOps practices. β€’ Exposure to event-driven or distributed systems.