Principal Consulting Software Engineer (Python)

About the Role

The Principal Software Engineer role performs complex research, design, and software development assignments within a software functional area or product line. And provides direct input to project plans, schedules, and methodology in the development of cross‑functional software products. This SWE performs software design — typically across multiple systems; mentors more‑junior members of the team; and talks to users/customers and translates their requests into solutions.

Conditions of Employment

• Ability to work a Hybrid schedule reporting to Raleigh, NC Office location

Requirements

• 10+ years of proven experience as a Principal Software Engineer or similar role.
• Strong proficiency in Python programming language.
• Strong proficiency in database technology (SQL, NoSQL).
• Extensive experience with Azure/AWS cloud services (e.g., EC2, S3, Lambda, RDS).
• Solid understanding of software architecture and design patterns.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Terraform).
• Knowledge of CI/CD pipelines and DevOps practices.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and leadership abilities.
• Ability to work effectively in a fast‑paced, collaborative environment.

Responsibilities

• Lead the design, development, and deployment of scalable software solutions using Python and AWS.
• Architect and implement robust, high‑performance systems that meet business requirements.
• Collaborate with cross‑functional teams to define technical specifications and ensure alignment with project goals.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
• Conduct code reviews and ensure adherence to best practices and coding standards.
• Troubleshoot and resolve complex technical issues, ensuring system reliability and performance.
• Stay updated with the latest industry trends and technologies, integrating them into the development process.
• All other duties as assigned.

Preferred Qualifications

• Experience in scaling AI‑driven products from concept to production.
• Experience with ML pipelines: model deployment, model serving, and debugging.
• Experience with other programming languages (e.g., Java, Go, C++).
• Experience with web frameworks (Django, Flask, FastAPI).
• Familiarity with machine learning and generative AI.
• Experienced with system architecture, design patterns, and API design.
• Experience with infrastructure as code tools.
• Proven experience in a mentorship and/or leadership role.