Ai Platform Engineer - Vice President

Morstan

Base: $150,000 - $210,000 py; bonus/equity: not sp...
Kubernetes/openshift platform development
Cloud (aws, azure, gcp) architecture
Api based development and rest framework
Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation

Job Summary

  • Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation.
  • Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes/OpenShift, Python, authentication solutions, APIs, REST framework, etc.
  • We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

Matching Summary

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation.

Salary

Base: $150,000 - $210,000 per year; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Kubernetes/OpenShift platform development
  • Cloud (AWS, Azure, GCP) architecture
  • API based development and REST framework
  • Data engineering and large-scale API Gateway
  • Generative AI solution implementation
  • Python Flask or FAST API development
  • DevOps, CI/CD, and GitOps practices

Nice-to-have

  • Practitioner of testing methodologies
  • Understanding of OAuth 2.0 protocol
  • Proficiency with Open Telemetry tools
  • Microservice based architecture knowledge
  • Modern application configuration techniques
  • SRE techniques understanding
  • AI agents and orchestration experience

Key Requirements

  • 10 years of experience in software engineering
  • Bachelor's or Master's degree in Computer Science
  • Experience deploying applications on Azure, AWS, and/or GCP
  • Experience with Kubernetes workload management
  • Experience with RESTful services development

Work Rights

Not specified

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