Member of Technical Staff [Platform]

About the role

This role is part of the Jobright TNT - the private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno and 150 more. This is not a mass job posting. Only select, high-signal candidates are invited to Jobright TNT and recommended directly to hiring teams. Hiring Company: NeoCognition. One-liner: NeoCognition is an AI agent lab focused on expanding access to expertise through the development of specialized AI agents.

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

Requirements

• 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

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

Pay

Salary: $200K/yr - $300K/yr