> Markdown version of [/jobs/ext/4704911-sr-software-engineer](https://www.wearedevelopers.com/jobs/ext/4704911-sr-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Software Engineer - **Company:** Digipulse Technologies Inc. - **Location:** Park Hills, KY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Application Release Automation, Microsoft Azure, Continuous Integration, Extract Transform Load (ETL), Data Structures, Software Design Patterns, Distributed Data Store, Github, Python (Programming Language), Object-Oriented Software Development, Cloud Platform System, Apache Spark, Cloudformation, Fastapi, Containerization, Kubernetes, Infrastructure Automation Frameworks, Terraform, Software Version Control, Data Pipelines, Azure Resource Manager, Jenkins, Artifactory - **Published:** November 13, 2026 - **Apply:** https://www.adzuna.com/details/5964167398 ## About the Role 5-7 years of exp in Python, API Skills, experience using Jenkins for CI/CD, containerization skills in Kubernetes, and AWS services exp. The Role · 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. · Demonstrate advanced Python proficiency, including classes, modules, functions, data structures, type hints, packaging, dependency management, exception handling, and asynchronous or parallel-processing concepts. · Develop reusable frameworks, utilities, templates, and self-service capabilities that reduce duplication and improve developer productivity. · 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. Nice to have: · Familiarity with ETL/ELT pipelines, Apache Airflow, Apache Spark, and distributed data-processing concepts is beneficial. · AWS or Azure cloud certification is a plus.