Job Summary:

We are seeking an expert Python + Go Developer to join our customer’s team and play a pivotal role in AI training initiatives. This is a remote, full-time opportunity for a candidate with deep experience in both Python and GoLang, who thrives in a dynamic environment and excels at codebase migrations and system integrations.

Key Responsibilities:

1. Develop, maintain, and optimize robust, scalable solutions using Python and GoLang.
2. Lead and execute codebase migrations and rewrites between Python and Go, ensuring seamless transition and minimal disruption.
3. Collaborate closely with AI researchers and software engineers to build and enhance AI training infrastructure.
4. Apply best practices in software engineering, automation, and testing to deliver high-quality, production-ready code.
5. Contribute to architectural decisions and technical roadmaps for cross-language systems.
6. Communicate effectively in written and verbal form, sharing insights, documentation, and status updates with stakeholders.
7. Participate in code reviews and mentor other engineers on language interoperability and migration strategies.

Required Skills and Qualifications:

1. 5+ years of professional software engineering experience, with significant time in both Python and GoLang.
2. Demonstrated expertise in production environments, including codebase migrations and system rewrites between Python and Go.
3. Strong written and verbal communication skills, with a proactive approach to collaboration.
4. Proven ability to deliver results independently in a remote, distributed team setting.
5. Experience working in multiple language ecosystems and integrating diverse technical solutions.
6. Available for at least 6+ hours of overlap with Eastern Time.
7. Track record of high-quality code delivery and technical decision-making in fast-paced environments.

Preferred Qualifications:

1. Background in AI, machine learning, or data engineering on large-scale projects.
2. Experience in mentoring teams or leading complex migration projects.
3. Familiarity with cloud-based infrastructure (e.g., AWS, GCP) and CI/CD best practices.