Top Senior Level Python Jobs in Houston, TX

The Senior DevOps Engineer role involves building, deploying, and maintaining CI/CD pipelines, collaborating with software engineering teams, and improving DevOps infrastructure. The engineer will implement Infrastructure as Code (IaC) solutions and respond to monitoring alerts amidst troubleshooting production issues.

As a CCaaS Application Architect, you will design complex Contact Center applications, manage implementation teams, and address digital transformation goals for enterprise clients. Responsibilities include defining architectures using CXone, Genesys Cloud or Amazon Connect, leading code reviews, and ensuring solutions meet quality standards while addressing technical challenges such as API integrations and system limitations.

As a Senior MLOps Engineer, you will build machine learning products, write data pipelines, optimize LLM deployment, design software for model deployment, and collaborate with teams to enhance user experiences and software solutions.

The Senior Software Engineer will drive the technical roadmap, work collaboratively to enhance a software platform, and support full cycle feature releases. The role includes technical design participation and continuous technology discovery while fostering mentorship for junior engineers.

The Technical Architect will lead the technical vision and strategies at CNA, creating standards and best practices while facilitating collaboration with delivery teams. Responsibilities include designing cloud-native solutions and promoting technical agility, supporting teams, and adopting emerging technologies to enhance business capabilities.

The Senior Front-end Engineer will develop core components for a generative AI-enabled marketing automation platform, ensuring performance and scalability while improving developer experience. Responsibilities include code design, bug fixing, code reviews, and working collaboratively to meet business needs.

Lead the design, implementation, and optimization of computer vision algorithms, develop deep learning models, collaborate with teams, mentor junior engineers, drive machine learning lifecycle, troubleshoot and optimize AI systems, document research findings.