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CTI Consulting

Sr. Software Engineer 182137

westlake, TX, United States

Apply on cticonsulting.zohorecruit.com About employer

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Job details

Posting language: English
Posted: Nov 11, 2026

Original job description

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.
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 perfection.
Experience developing enterprise Python applications, backend services, API integrations, automation tools, internal frameworks, or platform-engineering software is preferred.
Experience with Kubernetes troubleshooting, cloud-platform engineering, high-availability design, application performance testing, and enterprise observability platforms is preferred.
Success in this role will be measured primarily by the delivery of high-quality, maintainable, well-tested, and production-ready Python software, along with improved software reuse, automation, platform reliability, and developer productivity.

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.

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Jobs in the United States