Position: Python Technical Lead
Location: Atlanta, GA (Onsite)
Duration: 8+ months
Exp Level: 14+ years
We are seeking a hands‑on Engineering Lead / Tech Lead to design, develop, and scale enterprise applications and intelligent automation solutions. The ideal candidate should have strong backend engineering expertise in Python and/or Node.js, experience building APIs and integrations, and the ability to lead development efforts while maintaining high engineering standards.
Responsibilities
- Design and build backend services, automation workflows, APIs, integrations, and reusable components using Python and/or Node.js.
- Leverage AI‑assisted coding tools such as Windsurf, GitHub Copilot, or similar platforms to accelerate development while maintaining high engineering standards.
- Review, validate, debug, refactor, and optimize AI‑generated code for correctness, security, performance, scalability, and maintainability.
- Troubleshoot issues across application logic, APIs, Apigee, databases, integrations, deployment pipelines, and enterprise environments.
- Adhere to established project structures, coding standards, documentation practices, DevOps processes, and enterprise engineering guidelines.
- Collaborate effectively with technical leads, architects, product owners, business stakeholders, and cross‑functional teams.
- Support rapid experimentation and prototyping while ensuring solutions can mature into production‑ready systems.
- Assist with testing, integration, deployment support, issue resolution, and post‑implementation improvements.
Required Qualifications
- Strong hands‑on experience with Python and/or Node.js development.
- Experience building REST APIs, backend services, and enterprise integrations.
- Strong understanding of microservices architecture and distributed systems.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with DevOps processes, CI/CD pipelines, and deployment automation.
- Experience working with databases such as PostgreSQL, MySQL, MongoDB, or SQL Server.
- Strong debugging, troubleshooting, and performance optimization skills.
- Experience working in Agile development environments.
- Excellent communication and leadership skills.
Preferred Qualifications
- Experience with AI/ML applications, LLMs, and prompt engineering concepts.
- Familiarity with API management platforms like Apigee.
- Experience mentoring developers or leading engineering teams.
- Knowledge of Docker, Kubernetes, and containerized deployments.
- Prior experience working on enterprise‑scale applications and automation platforms.
Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.
#J-18808-Ljbffr