Google Cloud Platform Engineer

Posted 16 Days Ago
Be an Early Applicant
Amsterdam, NLD
Hybrid
Mid level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Design, implement, and manage scalable, secure GCP infrastructure and Kubernetes clusters using IaC (Terraform/Deployment Manager) and CI/CD. Operate Kafka, Elasticsearch, and MongoDB in production, implement observability and security best practices, and collaborate with cross-functional teams to optimize cost and reliability.
Summary Generated by Built In

Are you excited by the idea of architecting and managing cloud infrastructure that powers complex web applications and data processing systems?
Can you design and implement scalable, secure, and cost-effective solutions using Google Cloud Platform services?
And can you do all of this while maintaining operational excellence and reliability?
Then don't wait another minute to apply!

🧑‍💻 What we are doing?

Kaizo aims to actively guide employees towards achieving their goals and making an impact at their companies.

We are building a performance development platform for customer support teams that leverages gamification and AI to improve operational efficiency, elevate teams' performance and retention with actionable goals. We are a product-led, fast-growing SaaS company with a diverse team and a globally active customer base.

Kaizo is leveraging gamification and machine learning to make the daily work experience for customer support agents more engaging, fun and productive.

We run our entire infrastructure on Google Cloud Platform, managing Kubernetes clusters that handle 200+ million events daily, with data flowing through Kafka streams and being stored in Elasticsearch and MongoDB.

Our cloud architecture is designed around GCP best practices to create a resilient, auto-scaling infrastructure that supports our microservices ecosystem and data processing pipelines.

🗓️ What are your 12 labours here?
  • Designing and implementing cloud infrastructure solutions in a fast-paced startup environment

  • Managing and optimizing GCP services

  • Building Infrastructure as Code using Terraform and implementing CI/CD pipelines with Github actions

  • Working with development teams to architect scalable, secure, and cost-effective cloud solutions

  • Monitoring system performance, implementing observability solutions, and ensuring high availability across all services

  • Analyzing infrastructure needs, suggesting improvements to our cloud architecture with freedom to implement innovative solutions

  • Implementing and maintaining security best practices to ensure a secure and protected cloud environment, including IAM policies, network security, and compliance frameworks

🧑‍💻 What you bring to the table?
  • 3+ years of professional experience with Google Cloud Platform services and cloud infrastructure management

  • Strong experience with Kubernetes, Docker containerization, and orchestration at scale

  • Experience managing and scaling Kafka clusters, Elasticsearch deployments, and MongoDB instances in production environments

  • Proficiency with Infrastructure as Code tools (Terraform, Deployment Manager) and CI/CD pipelines

  • Experience with monitoring and observability tools (New relic, Logging, APM solutions)

  • Knowledge of networking, security best practices, and cost optimization in cloud environments

  • Experience working within cross-functional teams, collaborating with Product Managers, developers, and DevOps engineers

  • BS/Masters degree in Computer Science, Engineering, or equivalent experience

🏆 What's in it for you?
  • An office right in the heart of Amsterdam

  • Great office gear: MacBook, tools, desks, chair — there's something for everyone

  • Flexible schedule, remote work (within the EU time zone) whenever needed

  • Fun workations (2019: Tuscany, 2020: Zoom 😢, 2021: Portugal, 2022: Italy) & open holiday policy

Skills Required

  • 3+ years of professional experience with Google Cloud Platform services and cloud infrastructure management
  • Strong experience with Kubernetes, Docker containerization, and orchestration at scale
  • Experience managing and scaling Kafka clusters, Elasticsearch deployments, and MongoDB instances in production environments
  • Proficiency with Infrastructure as Code tools (Terraform, Deployment Manager) and CI/CD pipelines
  • Experience with monitoring and observability tools (New Relic, Logging, APM solutions)
  • Knowledge of networking, security best practices, and cost optimization in cloud environments
  • Experience working within cross-functional teams, collaborating with Product Managers, developers, and DevOps engineers
  • BS/Masters degree in Computer Science, Engineering, or equivalent experience
Am I A Good Fit?
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The Company
31 Employees
Year Founded: 2018

What We Do

Kaizo is an AI-powered Workforce Performance Management (WPM) platform specifically designed for customer support teams. By combining artificial intelligence with gamification, Kaizo helps organizations improve agent productivity, engagement, and quality assurance, providing leaders with full visibility across conversations and actionable insights to scale customer service operations effectively.

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