NeoCognition
Member of Technical Staff [Platform]
Palo Alto · On-site · Staff · Full-time · Posted Apr 9, 2026
About the job
Designs and maintains platform infrastructure, developer tools, and MLOps workflows supporting research experiments and product deployments.
What you'll do
- Build and maintain infrastructure, developer tools, automation, and shared libraries.
- Develop reliable systems for data management, model experimentation, evaluation, and deployment.
- Improve build, test, release, observability, and performance workflows in collaboration with research and product teams.
What they ask for
- Strong software engineering background with infrastructure, platform, or DevOps experience.
- Proficiency with cloud environments, containerization/orchestration, and CI/CD systems.
- Experience building and maintaining developer tools, automation frameworks, or internal platforms.
- Familiarity with data pipelines, job scheduling, or ML experimentation workflows.
Nice to have
- Experience with ML infrastructure, training pipelines, or model evaluation tooling.
- Monitoring and observability background, such as Prometheus, Grafana, or Datadog.
Tools
AWS, GCP, Docker, Kubernetes, GitHub Actions, Terraform, Prometheus, Grafana
AI focus
Builds platform systems for ML experimentation, evaluation, and deployment; supports reproducible, safe, and efficient AI development.
Model-written summary · the original posting is authoritative