Top Hybrid Python Jobs in Charlotte, NC

The Lead Software Engineer will guide the design, development, and deployment of full-stack solutions, mentor junior engineers, and lead AI/ML initiatives while collaborating with cross-functional teams and enhancing system reliability.

As a Lead Payments Software Engineer, you will design, develop, and deploy AI applications, collaborating with teams to integrate AI models with existing products, while troubleshooting complex issues.

The Lead Software Engineer will develop architecture for risk technology solutions, create UI designs, and collaborate with various teams to achieve objectives.

Lead the development of tire models for F1 motorsports, integrating simulations and data analysis, while mentoring engineers and collaborating cross-functionally.

Lead automation testing initiatives, mentor junior team members, develop test strategies, build client relationships, and maintain high standards in deliverables.

The Sr AI Engineer develops and maintains a Computer Vision AI platform, enhancing ML model performance, managing resources, and ensuring platform adaptability. This role involves collaboration with data scientists and optimizing data flows for effective AI model deployment and operations.

The AI Technical Architect will design and implement AI systems focusing on generative AI and agentic architectures, guiding teams and ensuring solutions align with business objectives.

The Senior Technical Consultant leads the development of technical solutions, mentors engineers, presents to clients, and contributes to platforms engineering and cloud transformation initiatives.

The Principal Technical Consultant leads the design and implementation of transformative solutions, mentors the team, and manages client relationships to deliver high-quality projects.

The Senior Software Site Reliability Engineer will manage infrastructure, contribute to service mesh migrations, enhance API gateways, optimize performance, and embed SRE practices to ensure reliability.

Design, develop, and maintain software applications for clients, utilizing various technologies. Collaborate with teams and ensure quality delivery in a fast-paced environment.

The Cloud Engineer will implement AWS data services, create ETL/ELT pipelines, and support data solutions for customer insights while collaborating closely with Cloud Architects.