Develop and maintain robust, scalable solutions using Python and GoLang. Collaborate with AI researchers and software engineers to build AI training infrastructure. Contribute to architectural decisions and technical roadmaps.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Python + Go Developer [$30 - $80/hr]
Roles And Responsibilities
- 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.
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- 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.
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- 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.
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