Python Software Architect

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 observability.
• Produce architecture and design artifacts for complex applications, ensuring that day-to-day development adheres to defined design constraints, performance requirements, and enterprise standards.
• Develop and optimize data processing logic for large-scale datasets, including extraction, transformation, validation, deduplication, enrichment, and performance tuning to support both batch and near-real-time workloads.
• Gather, analyze, and synthesize large and diverse datasets to support continuous improvement of applications and business processes, surfacing insights that lead to measurable improvements in product, reliability, or cost.
• Develop reporting mechanisms, dashboards, and data visualizations where required to support operational insights, leveraging libraries and tools appropriate to the stakeholder audience.
• Identify hidden defects, performance bottlenecks, and architectural weaknesses, and proactively implement improvements to coding standards, system reliability, and overall maintainability.
• Contribute substantively to engineering best practices, conduct thorough peer code reviews, and participate constructively in architectural design discussions, mentoring less-senior engineers along the way.
• Participate fully in Agile development cycles and CI/CD processes, ensuring consistent, stable, and frequent deployments with appropriate testing, rollback, and monitoring strategies in place.
• Collaborate closely with cross-functional stakeholders — product managers, data scientists, operations engineers, and business analysts — to clarify requirements and translate them into scalable technical solutions.
• Support operational stability through structured incident response, debugging, log analysis, and post-incident reviews in enterprise environments, contributing actionable preventative measures.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Five or more years of applied Python development experience in enterprise-grade environments.
• Strong experience building and maintaining large-scale production applications with significant uptime and reliability requirements.
• Hands-on experience with relational database systems such as Oracle, MS SQL Server, PostgreSQL, or Sybase, including query tuning and schema design.
• Strong understanding of the full software development l…