Stylitics

Cloud Engineer

Stylitics$140K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in cloud infrastructure, DevOps, or platform engineering.
  • Hands-on Google Cloud Platform experience across core services.
  • Experience with Infrastructure as Code using Terraform.
  • Proficiency with Kubernetes / GKE, Docker, and Helm.
  • Understanding of GCP networking fundamentals (VPCs, subnets, etc.).
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Understanding of cloud security fundamentals and IAM.

Responsibilities

  • Support GCP migration by executing tasks and moving workloads.
  • Implement and maintain scalable cloud infrastructure on GCP.
  • Monitor and improve platform performance and reliability.
  • Build and maintain Infrastructure as Code with Terraform.
  • Deploy and operate containerized workloads using GKE and Docker.
  • Monitor cloud costs and implement optimizations.
  • Contribute to CI/CD pipelines and DevOps automation.

Benefits

  • Fully covered vision and dental insurance options.
  • Medical plan coverage with no cost options.
  • Stock options in a rapidly growing company.
  • Commuter benefits program.
  • Company matched 401k plan.
  • Generous paid time off policies.
  • Access to ClassPass for physical and mental well-being.
Full Job Description
About the Role

We are seeking a Cloud Engineer with a solid command of Google Cloud Platform to help build and operate the infrastructure that powers Stylitics. This is a hands-on role on a small infrastructure team: you will implement, automate, and maintain our GCP environment, working from architecture and standards set alongside senior engineers, and grow your scope over time as you take on more of the platform.

You will partner with engineering, security, and finance to keep our platform scalable, secure, cost-efficient, and reliable.

What You Will Do

  • 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.


Must-Have Qualifications

  • 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-Have Qualifications

  • 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.


Salary

When we find the right person, we try to put our best foot forward with an offer that excites you and is fair on our end. We consider the skills and experience you bring, what similar jobs pay and make sure there's equal pay for equal work among those you'll be working with. The compensation amount for this role is targeted at $140,000 - $160,000. The final offer also takes into account other factors of a total compensation package. Please note that the range is being shared in good faith and is subject to modification based on changing market and business conditions.

Our Benefits & Perks

  • Vision and dental insurance options that are fully covered by us
  • Medical plan coverage, with options that start at no cost to you
  • Competitive salary along with career planning for the future
  • 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

About Stylitics

Stylitics is a fashion technology company that provides retailers with data-driven insights to optimize their businesses. The company's omnichannel suite of services includes outfitting, styling, and personalization solutions that help retailers increase customer engagement and sales. Stylitics' clients include major retailers such as Ann Taylor, Bloomingdale's, and Express.
Learn more about Stylitics
Size
50 employees
Industry
Founded
2011

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