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Python Software Architect

bright vision technologies·US·United States·senior
pythondata engineering
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Python Software Architect- Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title : Python Software Architect Location : 100% Remote (U.S.) Position Type : Full-time, Direct W2 Salary Range : $100,000–$150,000 Annually Experience Required : 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Python Software Architect to design, build, and continuously enhance complex enterprise-grade applications, data-intensive services, and automation platforms. This is a hands-on engineering role focused on delivering robust, secure, and high-performance Python systems that operate reliably within distributed and mission-critical production environments. The ideal candidate will bring deep Python expertise combined with strong fundamentals in software architecture, data engineering, and operational support, and will partner closely with product, data, and infrastructure teams to translate ambiguous business problems into well-engineered technical solutions. You will be expected to think beyond surface-level fixes, identify root causes of complex issues, and proactively raise the engineering bar across the team. Key Responsibilities Provide end-to-end design, development, and advanced technical troubleshooting for complex enterprise-grade Python applications, reaching beyond routine approaches to solve novel and non-trivial technical problems. Develop secure, high-quality, production-ready Python code and implement algorithms that perform reliably within distributed systems, with thoughtful consideration of concurrency, fault-tolerance, and observ

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