Staff Platform Engineer
Core
Build secure, scalable platforms enabling teams to take AI/ML capabilities from experimentation into production, focusing on automation, reliability, and cost efficiency.
Role type
Staff Platform Engineer (AI/ML Operations)
Builds
AI/ML platform capabilities for training, evaluation, deployment, serving, and monitoring of models; reusable infrastructure and operational tooling.
Domain
Financial Services / AI/ML Operations / Cloud-Native Engineering
Deliverable
production ML models
Required skills
Python, Kubernetes, Infrastructure as Code, MLOps, Reliability Engineering, FinOps, Security Controls, Cloud-Native Architecture
Preferred skills
Technical Leadership, Cross-team Influence, Mentorship, Systemic Problem Solving
Technologies
Kubernetes, Python, Cloud-Native Tools, MLOps Frameworks
Responsibilities
Build and evolve AI/ML platform capabilities for the production lifecycle; Drive automation and self-service to reduce manual effort; Lead operational improvement and incident response; Champion FinOps for cost visibility and optimization; Embed security and operational controls into platform design; Provide Staff-level technical leadership and roadmap shaping.
