Python Software Architect (Python)

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design, develop, and troubleshoot complex enterprise-grade Python applications and automation platforms.
• Build secure, production-ready distributed systems with attention to concurrency, fault tolerance, observability, and performance.
• Create architecture and design artifacts and ensure implementation follows performance requirements and enterprise standards.
• Develop and optimize batch and near-real-time data processing for extraction, transformation, validation, deduplication, and enrichment.
• Improve reliability and maintainability through root-cause analysis, code reviews, architectural discussions, mentoring, and engineering standards.
• Support Agile delivery, CI/CD, deployments, incident response, debugging, monitoring, and post-incident reviews while collaborating with product, data, infrastructure, operations, and business teams.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• At least 5 years of applied Python development experience in enterprise environments; the position listing also specifies 6+ years of experience.
• Experience building and maintaining large-scale production applications with demanding uptime and reliability requirements.
• Hands-on experience with relational databases such as Oracle, MS SQL Server, PostgreSQL, or Sybase, including query tuning and schema design.
• Strong knowledge of software architecture, data structures, algorithms, SDLC, automated testing, Agile methodologies, CI/CD, resiliency patterns, secure coding, and operational support.
• Applicants must be eligible to work in the United States; new H-1B visa petitions cannot be sponsored.

Nice to have

• Shell scripting and command-line experience in UNIX/Linux environments.
• Knowledge of mathematical and statistical concepts and their application in code.
• Experience with NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and PyTorch.
• Exposure to AWS services and cloud-native storage, including S3, RDS, DynamoDB, and Glue.

Culture & Benefits

• Full-time direct W2 employment.
• Established organization with opportunities for career growth.
• Remote work arrangement within the United States.
• Equal employment opportunity and a workplace free from discrimination and harassment.