Senior MLOps Engineer: GCP Platform & Pipelines

Softeta; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Training budget

Flexible hours

Hybrid workplace

Agile/SCRUM environment

Equipment provided

Job summary

Softeta, a software engineering partner for finance, energy, and other high-stakes sectors, seeks a Senior MLOps Engineer to own and improve a telecommunications client's GCP-based ML platform. You will enable data scientists to train and deploy models independently, while ensuring security, scalability, and reliability.

Responsibilities include building templates and pipelines, managing model lifecycles, and enforcing governance with policy tags and SLOs.

Qualifications

• 5+ years in MLOps or platform engineering.
• Production experience with Vertex AI, GKE and BigQuery.
• Experience with Kubeflow Pipelines or Vertex AI Pipelines and Airflow.
• GitOps, Config Sync or equivalent tools, and CI/CD for model deployment.
• Strong Python engineering skills with unit testing and packaging.
• Ability to own a company-wide platform and build self-service tools with clear documentation and measurable SLOs.
• Experience with streaming, online inference, feature stores, and model observability.

Responsibilities

• Operate and improve secure ML training and serving infrastructure on GKE/Vertex AI, optimize GPUs, capacity, quotas and costs.
• Build reusable templates, CI/CD pipelines, and self-service tools for independent model deployment.
• Manage the model lifecycle: registry, versioning, deployment, rollback, drift monitoring, and serving health.
• Develop workflows using Kubeflow or Vertex AI Pipelines; collaborate with data engineers on feature/training data flows.
• Manage infrastructure as code via GitOps with Config Sync or equivalents.
• Enforce least-privilege data access and policy tag governance.
• Create documentation and define SLOs to support reliable platform operation.

Skills

Python

GKE

Vertex AI

Kubernetes

Kubeflow Pipelines

Airflow

GitOps

CI/CD

Dataflow

Kafka

Feast

Vertex AI Feature Store

BigQuery

GPU scheduling

Data governance

Tools

Kubeflow

Vertex AI

GKE

Airflow

Kafka

Feast

Vertex AI Feature Store

BigQuery

Job description

Softeta, a software engineering partner for finance, energy, and other high-stakes sectors, seeks a Senior MLOps Engineer to own and improve a telecommunications client's GCP-based ML platform. You will enable data scientists to train and deploy models independently, while ensuring security, scalability, and reliability.

Responsibilities include building templates and pipelines, managing model lifecycles, and enforcing governance with policy tags and SLOs.