Senior Python Developer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Python Developer based in United States.

This role offers the opportunity to build and enhance enterprise-grade software solutions using modern Python technologies.You will design, develop, and optimize reliable applications that support complex business and data-driven operations.The position combines hands-on engineering with architectural thinking, requiring strong problem-solving and technical leadership skills.You will collaborate with product, data, and infrastructure teams to transform business challenges into scalable technical solutions.The ideal candidate enjoys working on mission-critical systems, improving performance, and solving complex production challenges.You will contribute to engineering excellence through clean code, automation, testing, and operational best practices.This is a high-impact opportunity for an experienced developer looking to influence robust software platforms at scale.

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Accountabilities: The Senior Python Developer will be responsible for designing, developing, maintaining, and improving complex software systems while ensuring reliability, scalability, and performance across production environments.

• 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:

The ideal candidate brings extensive Python development experience, strong software engineering fundamentals, and the ability to deliver reliable solutions in complex enterprise environments.

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

• 5+ years of professional 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.

• Fully remote work opportunity within the United States.

• 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.

\nHow Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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