Senior Software Engineer

Quick Facts

• Work hours: 8am to 5pm
• Location: Covington, Kentucky
• Education: Bachelors
• Pay: $65–66 per hour

Description

Design, develop, test, deploy, and maintain production-quality Python applications, APIs, libraries, and reusable components. Apply clean-code and modular OOP practices, deliver comprehensive testing, and improve software reuse, automation, platform reliability, and developer productivity. Deploy and support containerized applications on Kubernetes in AWS/Azure, automate infrastructure with Infrastructure as Code, and strengthen observability, performance, and security.

Responsibilities

• Develop maintainable, extensible, scalable Python software using design patterns and standardized engineering practices (logging, configuration, CLI, validation, error handling, failure recovery).
• Build reusable frameworks/utilities/templates and self-service capabilities to reduce duplication and speed up developer workflows.
• Write unit, integration, and regression tests using mocking, fixtures, automation, and code-coverage practices.
• Troubleshoot runtime failures and performance bottlenecks; perform root-cause analysis and implement durable remediation.
• Deploy and support containerized applications on Kubernetes in AWS/Azure or similar public-cloud environments.
• Automate cloud/platform infrastructure using Terraform, AWS CloudFormation, or Azure Resource Manager templates.
• Create CI/CD workflows for source control, testing, packaging, artifact management, and release automation (GitHub, Jenkins, Artifactory).
• Implement structured logging and operational monitoring (metrics, dashboards, alerts) for highly available systems.
• Follow secure development practices: peer reviews, dependency management, vulnerability remediation, secrets protection, and secure cloud configuration.
• Use relational database and SQL skills for persistence, integrations, or data-processing solutions.
• Participate in design and code reviews; document designs, operational procedures, and troubleshooting/root-cause records.
• Use AI-assisted development tools (coding copilots, large language models) to improve development, testing, documentation, code review, and troubleshooting.

Requirements

• Bachelor’s degree
• Strong advanced Python proficiency, including OOP, modular architecture, type hints, packaging, dependency management, exception handling, and async/parallel processing concepts
• Proven ability to deliver production-ready backend services/APIs and enterprise Python applications
• Demonstrated testing skills: unit, integration, and regression tests with mocking/fixtures and code coverage practices
• Experience with defect/performance troubleshooting and root-cause analysis
• Kubernetes experience deploying and supporting containerized applications on AWS/Azure or comparable public clouds
• CI/CD workflow experience with GitHub/Jenkins/Artifactory (or similar) and artifact/release automation
• Observability experience (logging, metrics, dashboards, monitors, alerts) to support reliability and operations

Benefits

• Comprehensive benefits package (medical, prescription, dental, vision, AD&D, life insurance)
• Short-term disability and 401K plan (eligibility-based)