Senior Cloud & MLOps Engineer (GCP/Kubernetes)

buzzsolutions

United States

Remote

USD 140,000 - 190,000

Full time

2 days ago

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Job summary

Buzz Solutions seeks an experienced Systems & MLOps engineer to own cloud infrastructure for its AI-powered PowerAI platform. You will partner with backend, ML and platform teams to run secure, observable and scalable systems on Google Cloud, AWS and Azure while ensuring cost efficiency and reliability across high-volume image processing pipelines.

The role emphasizes building infrastructure as code, designing scalable clusters and enabling GitOps workflows with a focus on security and

Qualifications

6+ years building and operating production systems.
Hands-on cloud exposure across at least one major provider (GCP preferred).
Production Kubernetes experience with cluster design, upgrades and scaling.
Terraform at scale with modular design and environment parity.
Postgres and Redis infrastructure with replication, backups and capacity planning.
CI/CD and container delivery with Docker and a GitOps or equivalent release process.
Observability: set SLOs and reliable alerting; on-call readiness.
Security fundamentals: least privilege, secrets management and network segmentation.

Responsibilities

Own cloud infrastructure and ensure security, observability and cost-efficiency for Buzz Solutions platform.
Run cloud, clusters, data stores and observability stack; collaborate with backend engineers on services and pipelines.
Define provisioning, deployment, scaling and operation of systems; write automation code for infra.