Cloud Engineer

Posted Yesterday
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New York, NY, USA
In-Office
140K-160K Annually
Mid level
Artificial Intelligence • eCommerce • Machine Learning • Marketing Tech
The Role
Build, operate, and improve secure, scalable Google Cloud infrastructure. Support GCP migration, infrastructure as code with Terraform, Kubernetes and containerized workloads, CI/CD automation, cloud networking, observability, cost optimization, security governance, disaster recovery, and AI/data services. Collaborate with engineering, security, DevOps, and finance teams while documenting systems and growing toward senior-level ownership.
Summary Generated by Built In


About Stylitics

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).
  • Maintain security best practices and provide support for security programs.
  • Support disaster recovery, cybersecurity awareness, and penetration testing.
  • 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


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.

  • We care deeply about delivering high quality work
  • We work to be the best partners possible
  • We get things done
  • We believe the right team matters most
  • We think like customers and act like owners
  • We relish being pioneers

Skills Required

  • 3+ years of experience in cloud infrastructure, DevOps, platform engineering, or a related engineering role
  • Hands-on Google Cloud Platform experience across core services including Compute Engine, Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, Cloud Monitoring, and Cloud Logging
  • Working experience with Infrastructure as Code using Terraform
  • Hands-on experience with Kubernetes or GKE, Docker, and Helm
  • Understanding of GCP networking fundamentals including 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 cost-conscious infrastructure practices
  • Solid Linux and scripting fundamentals, such as Bash or 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, such as 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
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The Company
HQ: New York, NY
135 Employees
Year Founded: 2011

What We Do

Founded in 2011, Stylitics is an outfitting and styling technology partner to the world’s most forward-thinking retailers. We help retailers deepen customer relationships, maximize every sales opportunity, and create efficiencies everywhere from the design studio to the sales floor. An end-to-end outfitting solution that’s one part tech, one part brand strategy, and one part visual merchandising. Starting with a database of stylish outfit images that are created automatically according to your brand, Stylitics makes it possible for retailers to deliver personalized, outfit-driven experiences for every product, to every customer, everywhere—no stylist required.

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