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Creatify

Cloud & IoT Service Engineer

Los Angeles, CA (Remote)fulltimemidAdded 1 month ago

About this role

Manage cloud and IoT infrastructure at scale, operating AWS-native services and Kubernetes clusters while designing CI/CD pipelines and automation tools. Collaborate with global teams to deliver secure, compliant platforms for connected ecosystems across regions.

What you'll do

  • Operate AWS services (EC2, EKS, MSK, Lambda, Aurora) and hybrid cloud environments for IoT backend systems
  • Optimize Kubernetes clusters and edge computing infrastructure for real-time telemetry and predictive maintenance
  • Design and maintain CI/CD pipelines using Jenkins and GitLab CI with automated testing and deployment
  • Develop Python and Shell scripts for IoT data validation, log analysis, and cross-region backup automation
  • Implement data encryption, RBAC policies, and security audits for IoT device management and API gateways
  • Coordinate with international teams to align infrastructure with regional and compliance requirements

What they're looking for

  • AWS cloud operations (EC2, EKS, MSK, Lambda, Aurora)
  • Kubernetes and container orchestration (Docker)
  • Python and Shell scripting
  • Linux systems administration
  • CI/CD pipeline design (Jenkins, GitLab CI)
  • Data encryption and RBAC security implementation
  • IoT protocols (MQTT, H2, WebRTC)
  • Edge-cloud infrastructure optimization

Benefits

  • Competitive salary with performance bonuses
  • Relocation support and flexible remote work options
  • International health insurance coverage
  • Cross-regional training programs for AWS and cybersecurity certifications
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Creatify

Creatify builds an AI-powered video advertising platform that automates ad creation and distribution for major brands. The company is hiring Full-Stack Engineers, AI Research Engineers, Data Engineers, and Infrastructure/Platform Engineers to develop its SaaS product, data infrastructure, and cloud systems.

View all jobs at Creatify

Likely interview questions

  • Describe your experience managing AWS services at million-user scale. Which services have you worked with most, and how did you ensure high availability for distributed systems?
  • Walk us through how you've designed and optimized Kubernetes clusters for real-time applications. What metrics do you monitor, and how do you handle cross-regional data flows?
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