DevOps Engineer

Summary

High 5 Games is seeking a DevOps Engineer to support the cloud infrastructure powering its machine learning operations. The role focuses on automating deployments, building scalable data and feature pipelines, monitoring AI models, optimizing performance, and ensuring reliability, security, and compliance across Google Cloud Platform environments.

Responsibilities

• Manage, configure, and automate cloud infrastructure using tools such as Terraform and Ansible
• Implement CI/CD pipelines for ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with tools like Vertex AI, Jenkins, and DataDog
• Build and maintain scalable data and feature pipelines for both real-time and batch processing using BigQuery, BigTable, Dataflow, Composer, Pub/Sub, and Cloud Run
• Set up infrastructure for model monitoring and observability — detecting drift, bias, and performance issues using Vertex AI Model Monitoring and custom dashboards
• Optimize inference performance, improving latency and cost-efficiency of AI workloads
• Ensure overall system reliability, scalability, and performance across the ML/Data platform
• Define and implement infrastructure best practices for deployment, monitoring, logging, and security
• Troubleshoot complex issues affecting ML/Data pipelines and production systems
• Ensure compliance with data governance, security, and regulatory standards, especially for real-money gaming environments

Skills

• 3+ years
  of
  experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure
• Strong hands-on experience with
  Google Cloud Platform (GCP)
   especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub
• Proficiency with
  Terraform
  (and bonus points for
  Ansible)
• Solid grasp of
  containerization
  (Docker, Kubernetes) and orchestration platforms like
  GKE
• Experience building and maintaining
  CI/CD pipelines, preferably with
  Jenkins
• Strong understanding of
  monitoring and logging best practices
  for cloud and data systems
• Scripting experience with
  Python, Groovy, or
  Shell
• Familiarity with
  AI orchestration frameworks
  (LangGraph or LangChain) is a plus
• Bonus points if you
  ve worked in
  gaming, real-time fraud detection, or
  AI-driven personalization systems

Qualifications

Must Haves

• 3+ years
  of
  experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure
• Strong hands-on experience with
  Google Cloud Platform (GCP)
   especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub
• Proficiency with
  Terraform
  (and bonus points for
  Ansible)
• Solid grasp of
  containerization
  (Docker, Kubernetes) and orchestration platforms like
  GKE
• Experience building and maintaining
  CI/CD pipelines, preferably with
  Jenkins
• Strong understanding of
  monitoring and logging best practices
  for cloud and data systems
• Scripting experience with
  Python, Groovy, or
  Shell

Nice to Haves

• Familiarity with
  AI orchestration frameworks
  (LangGraph or LangChain) is a plus
• Bonus points if you
  ve worked in
  gaming, real-time fraud detection, or
  AI-driven personalization systems

Benefits

• Remote work arrangement