Member of Technical Staff [Platform]

Job Responsibilities

• Design, build, and maintain the core infrastructure supporting our research and product environments (cloud compute, storage, CI/CD pipelines, observability, security)
• Develop and manage internal developer tools, automation systems, and shared libraries that accelerate productivity across teams
• Build reliable systems for data management, model experimentation, evaluation, and deployment in both research and production contexts
• Define and evolve our build, test, and release workflows, ensuring seamless integration from prototype to production
• Implement and monitor observability and performance metrics across services and pipelines
• Collaborate closely with research and product teams to diagnose bottlenecks, optimize workflows, and ensure reproducibility of results
• Contribute to infrastructure strategy and architecture, helping shape how we scale as the company grows

Qualifications

• Strong software engineering background with experience in infrastructure, platform, or DevOps engineering
• Proficiency with cloud environments (AWS, GCP, or similar), containerization/orchestration (Docker, Kubernetes), and CI/CD systems (GitHub Actions, Terraform, etc.)
• Experience building and maintaining developer tools, automation frameworks, or internal platforms
• Familiarity with data pipelines, job scheduling, or ML experimentation workflows
• Excellent problem-solving skills and a track record of improving developer velocity or system reliability
• Strong communication skills and ability to collaborate with both research and product engineering teams

Preferred Qualifications

• Experience with machine learning infrastructure, training pipelines, or model evaluation tooling
• Background in monitoring and observability (e.g., Prometheus, Grafana, Datadog)
• Knowledge of infrastructure as code and configuration management best practices
• Interest in designing systems that support reproducible, safe, and efficient AI development
• Prior experience in an early-stage startup or small research organization

How to Join Jobright TNT

• If this is your first time applying to a Jobright TNT role, the process works as follows:
• Apply to your first Jobright TNT role
• We review your background to determine if you meet the TNT quality bar
• If qualified, your application is directly recommended to the employer
• Once accepted into TNT, you may be:
• - Invited to apply for other exclusive TNT-only roles
• - Invited to private, invite-only hiring events with top startups

You will be notified of your TNT selection result.

PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.