Job Summary:
We are seeking experienced Senior Software Engineers with strong expertise in production-grade Python development. This role focuses on designing, developing, testing, deploying, and maintaining reliable Python applications, APIs, libraries, frameworks, and reusable components using modern software engineering practices. The ideal candidates will also have experience with cloud-native platforms, Kubernetes, CI/CD, observability, and platform automation. Success in this role will be measured primarily by the delivery of high-quality, maintainable, well-tested, and production-ready Python software, along with improvements in software reuse, automation, platform reliability, and developer productivity.
Key Responsibilities:
• Design, develop, test, deploy, and maintain production-quality Python applications, APIs, libraries, packages, and reusable components.
• Apply object-oriented programming, modular architecture, design patterns, and clean-code principles to create maintainable, extensible, and scalable software.
• Implement standardized patterns for logging, configuration management, command-line interfaces, input validation, error handling, and failure recovery.
• Develop reusable frameworks, utilities, templates, and self-service capabilities that reduce duplication and improve developer productivity.
• Write comprehensive unit, integration, and regression tests using appropriate mocking, fixtures, automation, and code-coverage practices.
• Diagnose software defects, runtime failures, and performance bottlenecks; conduct root-cause analysis and implement sustainable remediation.
• Design, configure, deploy, and support containerized applications on Kubernetes in AWS, Azure, or comparable public-cloud environments.
• Use Infrastructure as Code tools such as Terraform, AWS CloudFormation, or Azure Resource Manager templates to automate cloud and platform infrastructure.
• Build and maintain CI/CD workflows using technologies such as GitHub, Jenkins, and Artifactory for source control, testing, packaging, artifact management, deployment, and release automation.
• Implement structured logging, metrics, dashboards, monitors, and alerts to support highly available and operationally reliable applications and platforms.
• Apply secure software development practices, including peer reviews, dependency management, vulnerability remediation, secrets protection, and secure cloud configuration.
• Apply relational database concepts and SQL skills when designing application persistence, integrations, or data-processing solutions.
• Participate in technical design reviews, architecture discussions, code reviews, and the definition and adoption of engineering standards.
• Collaborate with software engineers, platform engineers, architects, support teams, and business stakeholders to translate evolving requirements into effective software solutions.
• Produce technical designs, application documentation, operational procedures, troubleshooting guides, and root-cause analysis records.
• Use AI-assisted development tools, including coding copilots and large language models, to improve development, testing, documentation, code review, and troubleshooting.
• Demonstrate strong problem-solving, communication, collaboration, and influencing skills, with a consistent focus on automation, software quality, reliability, and operational excellence.
Required Qualifications:
• Advanced Python proficiency, including classes, modules, functions, data structures, type hints, packaging, dependency management, exception handling, and asynchronous or parallel-processing concepts.
• Strong understanding of object-oriented programming, modular architecture, design patterns, and clean-code principles.
• Experience developing production-grade Python applications, APIs, libraries, packages, and reusable components.
• Experience with unit, integration, and regression testing, including mocking, fixtures, test automation, and code-coverage practices.
• Experience with Kubernetes and containerized application deployment and support.
• Experience with public-cloud environments such as AWS or Azure.
• Experience with Infrastructure as Code tools such as Terraform, AWS CloudFormation, or Azure Resource Manager templates.
• Experience building and maintaining CI/CD workflows using tools such as GitHub, Jenkins, and Artifactory.
• Knowledge of structured logging, metrics, dashboards, monitoring, alerting, and application observability.
• Understanding of secure software development practices, vulnerability remediation, dependency management, secrets protection, and secure cloud configuration.
• Working knowledge of relational database concepts and SQL.
• Strong problem-solving, communication, collaboration, and influencing skills.
Preferred Qualifications:
• Experience developing enterprise Python applications, backend services, API integrations, automation tools, internal frameworks, or platform-engineering software.
• Experience with Kubernetes troubleshooting, cloud-platform engineering, high-availability design, application performance testing, and enterprise observability platforms.
• Familiarity with ETL/ELT pipelines, Apache Airflow, Apache Spark, and distributed data-processing concepts.
• Experience using AI-assisted development tools, including coding copilots and large language models, to improve software development and operational workflows.
• AWS or Azure cloud certification is a plus.
