Remote Python Software Architect for Enterprise Data Cloud

Socket.dev; Maple Grove (MN); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a Python Software Architect for a 100% remote role in the United States. You will design and deliver enterprise-grade Python systems, lead architecture efforts, and mentor engineers across product, data, and infrastructure teams.

The ideal candidate will bring deep Python expertise, strong data engineering fundamentals, and a track record of building scalable, secure solutions in distributed production environments.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• 5+ years of Python development experience in enterprise-grade environments.
• Production-ready Python code with distributed systems experience.
• Experience with relational databases and query tuning.
• Solid SDLC knowledge and secure coding practices.
• Strong communication and cross-functional collaboration.

Responsibilities

• Provide end-to-end design and development for complex Python applications.
• Develop secure, production-grade Python code for distributed systems.
• Produce architecture and design artifacts for complex applications.
• Optimize data processing for large-scale datasets and real-time workloads.
• Collaborate with product, data, and infra teams to translate requirements.
• Mentor less senior engineers and contribute to engineering best practices.
• Participate in Agile cycles and CI/CD with testing, rollbacks, and monitoring.
• Lead incident response, debugging, and post-incident reviews.

Skills

Python

Software architecture

CI/CD

Distributed systems

Data processing

Mentoring

Agile

Unix/Linux

Education

Bachelor’s degree in Computer Science, Engineering, or related

Tools

Oracle

MS SQL Server

PostgreSQL

Sybase

AWS

Job description

Bright Vision Technologies is seeking a Python Software Architect for a 100% remote role in the United States. You will design and deliver enterprise-grade Python systems, lead architecture efforts, and mentor engineers across product, data, and infrastructure teams.

The ideal candidate will bring deep Python expertise, strong data engineering fundamentals, and a track record of building scalable, secure solutions in distributed production environments.