Cloud Engineer

Stylitics

New York (NY)

On-site

USD 140,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Vision and dental insurance fully paid

Medical plan

Stock options

401k plan

Generous PTO

Team events (virtual and in-person)

ClassPass access

Collaborative team environment

Job summary

Stylitics is seeking a Cloud Engineer with a strong Google Cloud Platform background to build and operate our scalable cloud infrastructure. In a hands-on role, you will implement, automate, and maintain the GCP environment while collaborating with senior engineers to expand your scope.

You will work with engineering, security, and finance to ensure a secure, cost-efficient, and reliable platform, deploying with Terraform and managing GKE, Cloud Run, Docker, and Helm.

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.

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

Cloud infrastructure

DevOps practices

GCP / Google Cloud

Kubernetes / GKE

Docker

Terraform

CI/CD pipelines

IAM & security

Scripting (Bash, Python)

Cost optimization

Communication

Ownership mindset

Tools

Terraform

GKE

Docker

Helm

BigQuery

Pub/Sub

Vertex AI

Cloud Run

Cloud Functions

Cloud Monitoring & Logging

Job description

Stylitics is a retail AI platform powering real-world, repeatable success for dozens of enterprise retailers. More than 100 million shoppers each month engage with our AI-driven outfitting, product discovery, and personalization experiences across e-commerce, apps, email, and stores. What sets us apart isn’t just what our AI can generate but the 10+ years of retail data, workflows, tools, experts, and QA systems behind it. These are the mission-critical components required to deliver safe, brand-right, production-ready AI at scale. Retailers trust Stylitics to elevate customer experience, drive revenue, and bring proven AI use cases to life.

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.

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.

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
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

Our Values

Our values reflect what is important to us at Stylitics and serve as the foundation in which we do business. Each core value is best illustrated by actions and attitudes that each Stylitics team member practices. They define what working at Stylitics means and what our teams embody through their time here.