Principal Platform Engineer

myBridge Corporation; California; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

401K

Medical Insurance

Dental Insurance

Vision Insurance

Job summary

myBridge Corporation in California is seeking a skilled ML engineer to design, implement, and productionize ML models and services. You will build data pipelines, feature engineering steps, and model monitoring across cloud and on‑prem environments.

You'll work with Python, MLflow/Kubeflow, Docker/Kubernetes, Git and CI/CD to deliver robust REST APIs and microservices. The role requires strong debugging, communication, and analytical abilities in a fast-paced setting.

Qualifications

• Strong Python programming and software engineering fundamentals.
• Experience with ML lifecycle tools such as MLflow, Kubeflow, or equivalent platforms.
• Familiarity with Docker, Kubernetes, Git, and CI/CD automation.
• Experience with AWS, Microsoft Azure, or Google Cloud.
• Knowledge of model serving, REST APIs, and microservices.
• Understanding of data pipelines, feature engineering, and model monitoring.
• Familiarity with infrastructure as code, such as Terraform.
• Knowledge of observability tools, logging, and performance monitoring.
• Strong troubleshooting, communication, and analytical skills.

Skills

Python programming

ML lifecycle concepts

REST APIs & microservices

Data pipelines & feature engineering

Model monitoring & observability

Tools

Docker

Kubernetes

Git

CI/CD automation

Terraform

Job description

401K, Medical Insurance, Dental Insurance, Vision Insurance

Full-Time | On-site

Required Skills

• Strong Python programming and software engineering fundamentals.
• Experience with ML lifecycle tools such as MLflow, Kubeflow, or equivalent platforms.
• Familiarity with Docker, Kubernetes, Git, and CI/CD automation.
• Experience with AWS, Microsoft Azure, or Google Cloud.
• Knowledge of model serving, REST APIs, and microservices.
• Understanding of data pipelines, feature engineering, and model monitoring.
• Familiarity with infrastructure as code, such as Terraform.
• Knowledge of observability tools, logging, and performance monitoring.
• Strong troubleshooting, communication, and analytical skills.