Senior Python Developer

Accountabilities

• Design, develop, and enhance enterprise-grade applications, data-intensive services, and automation platforms using Python.
• Build secure, scalable, and high-performing systems that operate reliably in distributed production environments.
• Translate complex business requirements into well-engineered technical solutions in collaboration with product, data, and infrastructure teams.
• Participate throughout the full software development lifecycle, including requirements analysis, architecture, implementation, testing, deployment, and ongoing support.
• Develop and maintain application components while applying strong software engineering principles and coding standards.
• Analyze and resolve complex technical issues by identifying root causes and implementing long-term solutions.
• Design and optimize database interactions, including query performance improvements and schema enhancements.
• Implement automated testing, CI/CD practices, application resiliency patterns, and secure development approaches.
• Contribute to architecture decisions, technical improvements, and engineering best practices across the team.
• Manage multiple projects and priorities while maintaining clear communication with technical and business stakeholders.

Requirements

• Extensive Python development experience in enterprise environments.
• Proven experience building and supporting large-scale production applications with strong reliability and uptime requirements.
• Strong knowledge of relational databases such as Oracle, MS SQL Server, PostgreSQL, or Sybase, including query optimization and schema design.
• Strong understanding of software architecture, system design, and the complete software development lifecycle.
• Hands-on experience with application development, automated testing, debugging, and operational support.
• Strong understanding of data structures, algorithms, performance optimization, and engineering trade-offs.
• Experience troubleshooting complex enterprise applications in production environments.
• Familiarity with Agile methodologies, CI/CD workflows, secure coding practices, and application resiliency patterns.
• Ability to manage multiple concurrent initiatives in a fast-paced and changing environment.
• Excellent written and verbal communication skills with the ability to collaborate across technical and non-technical teams.
• PREFERRED: Experience with UNIX/Linux environments, shell scripting, and command-line tools.
• PREFERRED: Knowledge of Python data and machine learning libraries, including NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and PyTorch.
• PREFERRED: Exposure to AWS services and cloud-native technologies such as S3, RDS, DynamoDB, and Glue.

Benefits

• Competitive annual salary range of $90,000-$115,000.
• Full-time direct employment opportunity.
• Opportunity to work on complex enterprise software and data-driven platforms.
• Career growth potential within a technology-focused environment.
• Exposure to modern cloud, automation, and machine learning technologies.
• Collaborative work environment with cross-functional engineering teams.