Python + Go Developer

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.

Day-to-day

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

You bring

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

You bring

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