Python Software Architect

Role Description

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.
• Develop secure, high-quality, production-ready Python code and implement algorithms that perform reliably within distributed systems.
• Produce architecture and design artifacts for complex applications, ensuring adherence to defined design constraints and performance requirements.
• Develop and optimize data processing logic for large-scale datasets, including extraction, transformation, validation, and performance tuning.
• Gather, analyze, and synthesize large and diverse datasets to support continuous improvement of applications and business processes.
• Develop reporting mechanisms, dashboards, and data visualizations to support operational insights.
• Identify hidden defects, performance bottlenecks, and architectural weaknesses, and implement improvements.
• Contribute to engineering best practices, conduct thorough peer code reviews, and mentor less-senior engineers.
• Participate fully in Agile development cycles and CI/CD processes.
• Collaborate closely with cross-functional stakeholders to clarify requirements and translate them into scalable technical solutions.
• Support operational stability through structured incident response, debugging, and post-incident reviews.

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.
• Strong understanding of the full software development lifecycle (SDLC).
• Proven hands-on experience across system design, application development, automated testing, and operational support.
• Strong working knowledge of data structures, algorithms, and computational efficiency.
• Demonstrated experience debugging and maintaining complex, enterprise-level applications in production.
• Solid understanding of Agile methodologies, CI/CD practices, application resiliency patterns, and secure coding standards.
• Ability to manage multiple concurrent projects in dynamic environments while keeping stakeholders informed.
• Strong written and verbal communication skills, with experience collaborating with both technical and business teams.

Preferred Qualifications

• Strong shell scripting skills in UNIX/Linux environments.
• Solid grounding in mathematical and statistical concepts.
• Hands-on experience with the Python data and ML ecosystem, including NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and PyTorch.
• Working exposure to AWS cloud services and cloud-native storage technologies such as S3, RDS, DynamoDB, and Glue.

How to Apply

For immediate consideration, please send your resume to [email protected] or contact us at View phone number on remotive.com.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws.