Principal / Senior Principal Java & Python Engineer

CONFISA INTERNATIONAL GROUP•Atlanta, GA

7d•Hybrid

About The Position

The role is for a senior Java and Python software engineer with exposure to AI, joining a global technology consulting and digital solutions company. The engineer is expected to remain actively hands-on in software development rather than focus primarily on management or architecture. The position is full-time and hybrid, with four days per week onsite in Atlanta, Georgia, or St. Louis, Missouri. Candidates should be available to interview immediately and able to meet the onsite requirement. U.S. citizens and green card holders are eligible; H-1B and other visa categories are not eligible under the current instructions. Candidates elsewhere in the United States may receive secondary consideration if willing to relocate at their own expense.

Requirements

5 to 10 years of relevant software engineering experience.
Strong hands-on Java development experience, including Java 8, 11, 17, or newer.
Practical experience with Spring Boot and Spring MVC.
Experience designing and developing REST APIs and microservices.
Hands-on Python experience for backend development, automation, or integrations.
Exposure to Spec Driven Development.
Strong SQL and relational database experience.
Experience using Git or comparable source-control tools.
Knowledge of SDLC and Agile development methodologies.
Strong troubleshooting, analytical, and problem-solving capabilities.
Recent experience should be substantially hands-on software development rather than primarily managerial or architectural.
U.S. citizenship or permanent residency; H-1B and other visa categories are not eligible under the current instructions.
Ability to attend the office four days per week in Atlanta, Georgia, or St. Louis, Missouri.
Availability to interview immediately and compensation expectations aligned with the approved range.

Nice To Haves

Experience with Generative AI tools such as GitHub Copilot, Anthropic Claude, Google Gemini, or equivalent technologies.
Practical use of AI coding assistants to improve software development productivity.
Exposure to AI services available through AWS, Azure, or Google Cloud.
Experience integrating Generative AI capabilities into Java or Python applications.
Experience developing AI-powered APIs, assistants, or copilots.
Experience with AI agents and agentic workflows.
Familiarity with Model Context Protocol (MCP).
Enterprise AI architecture knowledge.
Currently based in Atlanta or St. Louis; candidates elsewhere in the United States may be considered if willing to relocate at their own expense.