DevOps Engineer Retail Media Network (RMN)

Minneapolis, MN, US • Posted 2 days ago • Updated 2 days ago
Full Time
On-site
$100,000 - $130,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • DevOps
  • Amazon Web Services
  • AWS
  • Amazon EC2
  • Amazon S3
  • GCP
  • Google Cloud Platform
  • GKE
  • BigQuery
  • Cloud Storage
  • Pub/Sub
  • Dataflow
  • Vertex AI
  • Kubernetes Native
  • IaC
  • Infrastructure as Code
  • Machine Learning (ML)
  • Management
  • Engineering Design
  • Jenkins
  • Kubernetes
  • Load Balancing
  • Media
  • Network
  • Continuous Delivery
  • Continuous Integration
  • DNS
  • Data Flow
  • GitHub
  • Grafana
  • Advertising
  • Artificial Intelligence
  • Cloud Computing
  • Computer Networking
  • ProVision
  • Retail
  • SAFE
  • Terraform
  • Training
  • Vertex
  • Workflow

Summary

Job Title: DevOps Engineer Retail Media Network (RMN)

Location: Minneapolis, MN

Role Overview

Must Have Technical/Functional Skills

Google Cloud Platform Platform Engineering

  • Design and automate Google Cloud Platform landing zones centered on GKE and data services (BigQuery, Cloud Storage, Pub/Sub, Dataflow, Vertex AI).
  • Establish opinionated defaults for networking, IAM, observability, and security.

Infrastructure as Code (Kubernetes Native)

  • Provision and manage Google Cloud Platform resources using Cross plane and/or Google Cloud Platform Config Connector.
  • Expose cloud capabilities via Kubernetes APIs and GitOps workflows.
  • Use Terraform only to provision AWS EKS clusters.

AWS & Multi Cloud Enablement

  • Operate and evolve AWS EKS environments.
  • Enable secure, reliable connectivity between AWS and Google Cloud Platform.

GitOps & Delivery

  • Drive GitOps based deployments with ArgoCD.
  • Partner with CI/CD pipelines (GitHub Actions, Jenkins, etc.) to enable safe, automated delivery.

AI/ML Platform Support

  • Enable infrastructure for ML training, inference, and large scale data pipelines.
  • Optimize for performance, low latency data access, and cost efficiency.

Reliability & Observability

  • Define SLOs and implement monitoring using Prometheus, Grafana, and Google Cloud Platform Cloud Monitoring.
  • Improve stability of data heavy and ML driven workloads.

Security & Governance

  • Implement IAM guardrails, network controls, and security baselines across Google Cloud Platform and AWS.
  • Protect sensitive retail and advertising data by design.

Roles & Responsibilities

  • 3+ years in DevOps, Platform Engineering, Cloud Engineering, or SRE.
  • Strong Kubernetes experience in production (GKE and/or EKS).
  • Hands on experience with Crossplane, Google Cloud Platform Config Connector, or similar Kubernetes based IaC tools.
  • Working knowledge of AWS core services (EKS, EC2, S3, IAM).
  • Experience with ArgoCD and CI/CD pipelines.
  • Solid understanding of cloud networking (DNS, load balancing, ingress).

Education

Bachelor s Degree in computer science or IT related field

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10217521
  • Position Id: 8978500
  • Posted 2 days ago
Contact the job poster
RB

Rajat Bhoyar

Recruiter @ Ztek Consulting
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