Python Technical Lead C2C requirements in Atlanta, GA

Tech Mirrors

Atlanta (GA)

On-site

USD 130,000 - 150,000

Full time

14 days+

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Job summary

Tech Mirrors is seeking a Python Technical Lead to design, develop, and scale enterprise applications and automation solutions in Atlanta. The ideal candidate will have extensive backend engineering expertise, particularly in Python and/or Node.js, along with a strong understanding of microservices architecture and experience in cloud platforms.

This role involves building backend services, APIs, and collaborating with cross-functional teams, adhering to high engineering standards throughout development.

Qualifications

  • Strong hands-on experience with Python and/or Node.js development.
  • Experiences building REST APIs and backend services.
  • Strong understanding of microservices architecture.

Responsibilities

  • Design and build backend services, automation workflows, and APIs.
  • Review, validate, debug, and optimize AI-generated code.
  • Collaborate with technical leads and cross-functional teams.

Skills

Python development
Node.js development
Building REST APIs
Microservices architecture
Cloud platforms (AWS, Azure, GCP)
DevOps processes
Agile development
Database management (PostgreSQL, MySQL)

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
CI/CD tools

Job description

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.

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