Architect Next-Gen AI Data Infrastructure
Design scalable, future-proof data platforms optimized for AI research workloads
Build efficient self-serve data processing pipelines leveraging GCP's advanced services
Optimize resource allocation for maximum training efficiency
Lead adoption of cutting-edge ML tools and frameworks
Streamline existing workflows while introducing new tooling
Identify and eliminate technical bottlenecks

Requirements

5+ years of professional software engineering experience
Strong proficiency in Python and SQL
Solid understanding of software engineering fundamentals
Experience with RESTful APIs and distributed systems concepts
Containerization (Docker) and basic cloud infrastructure
Track record of delivering high-quality software in a team environment
Ability to thrive in a startup environment

Benefits

100% employer-paid benefits
Flexible work arrangements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLRESTful APIsdistributed systemsDockercloud infrastructuredata processing pipelinesAI researchmachine learning toolssoftware engineering fundamentals

Soft Skills

team collaborationproblem-solvingadaptabilityleadershipcommunication