Senior Software Engineer (Python)

Quick Facts

• Role: Senior Software Engineer (Python)

Description

Design, develop, test, deploy, and maintain production-quality Python applications, APIs, libraries, packages, and reusable components. Use object-oriented programming, modular architecture, design patterns, and clean-code principles to build maintainable, extensible, and scalable software. Ensure operational excellence through standardized logging/configuration, strong testing, troubleshooting, and cloud-native deployment.

Responsibilities

• Develop reusable frameworks, utilities, templates, and self-service capabilities to reduce duplication and improve productivity
• Implement standardized patterns for logging, configuration management, command-line interfaces, input validation, error handling, and failure recovery
• Write comprehensive unit, integration, and regression tests using mocking, fixtures, automation, and code-coverage practices
• Diagnose defects and runtime failures; perform root-cause analysis and implement durable remediation
• Deploy and support containerized applications on Kubernetes in AWS, Azure, or comparable public clouds
• Use Infrastructure as Code (Terraform, AWS CloudFormation, Azure Resource Manager) to automate cloud and platform infrastructure
• Build and maintain CI/CD workflows using GitHub, Jenkins, and Artifactory for source control, testing, packaging, artifact management, and release automation
• Implement structured logging, metrics, dashboards, monitors, and alerts to support highly available, operationally reliable platforms
• Use AI-assisted development tools (coding copilots and large language models) to improve development, testing, documentation, code review, and troubleshooting

Requirements

• Advanced Python proficiency: classes, modules, functions, data structures, type hints, packaging, dependency management, exception handling, and asynchronous/parallel-processing concepts
• Experience developing production-quality enterprise Python applications, backend services, API integrations, automation tools, internal frameworks, or platform-engineering software (preferred)
• Ability to implement robust logging, configuration, CLI, validation, error handling, and failure recovery patterns
• Ability to write unit/integration/regression tests with appropriate mocking, fixtures, automation, and code coverage
• Ability to troubleshoot defects, runtime failures, and performance bottlenecks with root-cause analysis
• Experience deploying and supporting Kubernetes-based containerized applications on AWS/Azure (or comparable clouds)
• Experience with Infrastructure as Code using Terraform, AWS CloudFormation, or Azure Resource Manager
• Experience building CI/CD workflows using GitHub, Jenkins, and Artifactory
• Experience with structured logging, metrics, monitoring, and alerting for enterprise reliability

Benefits

• Measured outcomes: delivery of high-quality, maintainable, well-tested, production-ready Python software; improved reuse, automation, platform reliability, and developer productivity