Senior AI Platform Engineer — Cloud & Kubernetes Leader

ARCHER; Palo Alto (CA); On-site; USD 180,000 - 320,000; Full time

Benefits offered by this job

Health Care Coverage

On-Site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Commission-Based Pay

Discretionary Incentive Compensation

Cash And/Or Forfeitable Equity

Job summary

ARCHER is seeking a technical leader to drive secure, high-quality software on scalable cloud platforms for AI/ML workloads. You will guide development, deployment, and operations, while optimizing cloud resources and establishing governance for AI-assisted tooling.

Ideal candidates bring five+ years in software engineering, deep Kubernetes/container experience, and proficiency in cloud infrastructure as code, with a foundation in ML and responsible AI practices.

Qualifications

• Requires formal software engineering training or certification and at least five years of applied experience, with hands-on expertise in system design, development, testing, and operational stability.
• Candidates should have strong Kubernetes and containerization skills, proficiency in a programming language, cloud and infrastructure-as-code knowledge, foundational ML understanding, and experience guiding responsible use of enterprise-approved AI development tools.

Responsibilities

• Provide technical leadership and develop secure, high-quality software for scalable cloud platforms for AI/ML workloads.
• Improve ML deployment and operations through infrastructure automation, CI/CD, cloud resource optimization, and governed use of AI-assisted engineering tools.
• Architect and guide system design, development, testing, and operational stability across production environments.
• Collaborate with cross-functional teams to ensure robust security, reliability, and performance of AI workloads.

Skills

Kubernetes

Docker

Python

Go

Java

C#

Cloud Computing

Infrastructure As Code

Machine Learning

AI-Assisted Software Development

CI/CD

Microservices

Cloud Security

Production Troubleshooting

Prometheus

Grafana

Education

Formal software engineering training or certification

Tools

Docker

Kubernetes

Prometheus

Grafana

Job description

ARCHER is seeking a technical leader to drive secure, high-quality software on scalable cloud platforms for AI/ML workloads. You will guide development, deployment, and operations, while optimizing cloud resources and establishing governance for AI-assisted tooling.

Ideal candidates bring five+ years in software engineering, deep Kubernetes/container experience, and proficiency in cloud infrastructure as code, with a foundation in ML and responsible AI practices.