Stylitics logo
Stylitics
Posted 66 days agoVerified live 1d ago

Cloud Engineer

Brief overview

Remote
$140k–$160k/yrStated range
Google Cloud PlatformCompute EngineCloud RunCloud FunctionsCloud StorageCloud SQLCloud MonitoringCloud LoggingTerraformKubernetesGKEDockerHelmGCP networking fundamentalsVPCsSubnetsFirewall rules

About the company

Stylitics logo
Styliticsstylitics.com

Stylitics is the tech partner for retailers to inspire shoppers with personalized outfitting, styling, and bundling content.

Job description

Summary

Stylitics is a retail AI platform powering real-world success for enterprise retailers. They are seeking a Cloud Engineer to help build and operate the infrastructure on Google Cloud Platform, focusing on automation, scalability, and security.

Responsibilities

  • Support the GCP migration by executing migration tasks and moving workloads under an agreed target architecture
  • Implement, maintain, and operate secure, scalable cloud infrastructure on Google Cloud Platform
  • Monitor, troubleshoot, and improve platform performance, reliability, and observability
  • Build and maintain Infrastructure as Code with Terraform, following established modules and patterns
  • Deploy and operate containerized workloads using GKE, Cloud Run, Docker, and Helm
  • Monitor cloud cost, surface anomalies, and help implement optimizations across compute, data, and AI services
  • Work hands-on with cloud-native data and AI services such as BigQuery, Pub/Sub, and Vertex AI
  • Contribute to CI/CD pipelines and DevOps automation
  • Help implement infrastructure security and governance controls, including IAM and least-privilege access
  • Support cloud networking configuration (VPCs, subnets, DNS, and load balancing)
  • Write clear documentation and collaborate with engineering, DevOps, and security teams

Skills

  • 3+ years of experience in cloud infrastructure, DevOps, platform engineering, or a related engineering role
  • Solid hands-on Google Cloud Platform experience across core services (Compute Engine, Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, Cloud Monitoring and Logging)
  • Working experience with Infrastructure as Code using Terraform
  • Hands-on experience with Kubernetes / GKE, Docker, and Helm
  • Working understanding of GCP networking fundamentals (VPCs, subnets, firewall rules, DNS, and load balancing)
  • Familiarity with CI/CD pipelines and DevOps practices
  • Understanding of cloud security fundamentals and IAM
  • Awareness of cloud cost drivers and a habit of building cost-consciously
  • Solid Linux and scripting fundamentals (e.g., Bash, Python)
  • Strong communication skills and eagerness to learn and grow toward senior-level ownership
  • Google Cloud Associate or Professional certification
  • Exposure to ML/AI infrastructure (e.g., Vertex AI)
  • Experience with BigQuery
  • Exposure to SOC 2 or similar compliance frameworks
  • Experience with cloud migrations
  • Experience working in, or with, retail or e-commerce environments

Qualifications

Must Haves

  • 3+ years of experience in cloud infrastructure, DevOps, platform engineering, or a related engineering role
  • Solid hands-on Google Cloud Platform experience across core services (Compute Engine, Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, Cloud Monitoring and Logging)
  • Working experience with Infrastructure as Code using Terraform
  • Hands-on experience with Kubernetes / GKE, Docker, and Helm
  • Working understanding of GCP networking fundamentals (VPCs, subnets, firewall rules, DNS, and load balancing)
  • Familiarity with CI/CD pipelines and DevOps practices
  • Understanding of cloud security fundamentals and IAM
  • Awareness of cloud cost drivers and a habit of building cost-consciously
  • Solid Linux and scripting fundamentals (e.g., Bash, Python)
  • Strong communication skills and eagerness to learn and grow toward senior-level ownership

Nice to Haves

  • Google Cloud Associate or Professional certification
  • Exposure to ML/AI infrastructure (e.g., Vertex AI)
  • Experience with BigQuery
  • Exposure to SOC 2 or similar compliance frameworks
  • Experience with cloud migrations
  • Experience working in, or with, retail or e-commerce environments

Benefits

  • Vision and dental insurance options that are fully covered by us
  • Medical plan coverage, with options that start at no cost to you
  • For this role, stock options in a company that is growing rapidly and successfully
  • Commuter benefits program
  • Company matched 401k plan to help plan for your future
  • Generous paid time off policies
  • Work events - both virtual and in person
  • Access to ClassPass - a company paid benefit giving you access to numerous physical and mental well being needs
  • Working with fun, hardworking, nice people who are committed to making a difference

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