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Array

GCP Cloud Infrastructure Engineer

Reposted 14 Days Ago
Easy Apply
In-Office or Remote
Hiring Remotely in Canada, KS
135K-135K Annually
Junior
Easy Apply
In-Office or Remote
Hiring Remotely in Canada, KS
135K-135K Annually
Junior
As a Cloud Infrastructure Engineer, you will design and improve cloud environments, focusing on GCP and Terraform, collaborating with various teams and enhancing infrastructure processes.
The summary above was generated by AI

Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API.  Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.

As a remote-first company, we’re focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.

As an Infrastructure Engineer at Array, you will help us build, operate, and scale our cloud environments. You will speak GCP (Google Cloud Platform) fluently, thrive on problem solving, and be naturally curious about how systems behave. Using telemetry, logs, and metrics you will find the why, then drive clear next steps that improve reliability and scalability. 

You will work closely with application teams, support teams, and infrastructure partners to diagnose issues, improve platform health, and deliver solutions. You must be comfortable with ambiguity, exhibit strong ownership, and the ability to turn unclear problems into clear, actionable work. This role helps ensure our systems are scalable, reliable, and well understood, while enabling product teams to move faster with confidence.This role reports to the Engineering Manager. 

All Engineering roles at Array are subject to On-Call rotations after a ramp/training period. 

You will:

  • Take cloud problems, investigate deeply, explain root causes clearly, and propose practical solutions
  • Own work end to end, drive it to completion, and communicate progress consistently
  • Build, operate, and improve GCP infrastructure, with some AWS support as needed
  • Support Kubernetes workloads on GKE and help teams run reliable, cost effective systems at scale
  • Work with core GCP building blocks including:
    • Kubernetes and containerized workloads
    • Queueing and messaging systems such as Google Pub Sub, Amazon SQS, RabbitMQ, or similar
    • Relational database systems like Postgres and Microsoft SQL Server
    • Data and storage systems such as object storage and BigQuery
    • Networking components including load balancers, web application firewalls, and traffic routing
  • Use logs, metrics, and tracing to troubleshoot production systems and improve performance and reliability
  • Identify opportunities to simplify architecture, reduce operational overhead, and improve scalability
  • Bring curiosity and follow through to understand how cloud resources work and why they behave the way they do
  • Maintain a habit of using AI tools to think, build, and ship faster—it’s your default, not an afterthought.

You have:

  • 2+ years of hands on experience operating production systems in GCP
  • Working knowledge of AWS or another major cloud provider
  • Strong fundamentals in networking, compute, storage, identity, and permissions
  • Kubernetes experience, especially operating workloads in production
  • Familiarity with scalable system components such as queues, databases, storage, and load balancing
  • Comfort troubleshooting live systems using telemetry and evidence, not guesswork
  • Ability to take ambiguous requests and turn them into clear plans and deliverables
  • Strong communication and cross team collaboration skills
  • A belief that AI is reshaping work, you instinctively use it to accelerate everything you do.

Our Stack

  • GCP and AWS
  • GKE and Kubernetes
  • Terraform
  • ArgoCD

Pay transparency: $135,000 + for base salary, depending on experience.

Expected interview process: Recruiter Conversation - Hiring Manager Interview - Technical Interview - Loop round: Engineering Leadership Interview, How We Work Interview 

Array Offers All Full Time Employees the following Benefits and Perks: 

  • Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for dependents
  • Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend
  • 100% 401k match up to 4% with immediate vesting 
  • Generous and competitive parental leave for all parents
  • $1,000 desk setup subsidy to set-up your unique remote office 
  • $100/month to subsidize wifi/cell phone expenses
  • Summer Fridays (half-day Fridays) typically from late May to the end of August
  • AnniversArray Kits for work anniversaries

Not sure if you meet the Qualifications? We know that folks tend to only apply if they check every box. If you think you have the appropriate qualifications, but don’t meet every single one, we encourage you to still apply. We’d love to hear from you.

We are proud to be an equal opportunity workplace; we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Array will provide reasonable accommodations to qualified applicants—if you need an accommodation to participate in the application or interview process, please email [email protected] to make your request.

Array uses CLEAR to conduct identity verification as part of the application process. We encourage you to review CLEAR’s Privacy Notice and Terms of Use to understand how your personal data will be processed

Top Skills

Argocd
AWS
Git
Gitlab
Go
Google Cloud Platform
JavaScript
Kubernetes
Python
Terraform
HQ

Array New York, New York, USA Office

New York, NY, United States

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