Top Senior Level Python Jobs in Philadelphia, PA

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.

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 Growth Engineer will be responsible for building production-grade backend services and APIs, owning projects from inception to deployment, and collaborating with a team to enhance the user experience of Monte Carlo's Data Observability platform.

As a Sr. Software Engineer, you'll design and build a cloud-native platform with microservices, develop features, optimize performance, and mentor junior engineers. You will collaborate on frameworks, review code, and explore new technologies.

As a Staff Backend Engineer, you will develop web services focusing on digital life insurance enrollment solutions, collaborating with cross-function teams and managing modular services in Python and Java. You'll ensure quality code, maintainability, and proactive problem-solving.

As a Senior Software Engineer at Doximity, you will improve data systems, lead projects from inception to delivery, and collaborate with cross-functional teams to develop pipelines and methodologies for data extraction and analysis.