Cloud Infrastructure Engineer

Overview

Contract Duration: 6 months with a possibility of extension

Working Hours: M-F 40 hours per week

Job Title: Cloud Infrastructure Engineer

As a Cloud Infrastructure Engineer, you’ll help design and build the core infrastructure that powers the development and testing of next-generation autonomous flight systems. This role offers the chance to work with cutting-edge cloud technologies while collaborating with experts in flight controls, autonomy, safety, simulation, testing, manufacturing, and certification.

• Design, implement, and maintain scalable cloud infrastructure on Google Cloud Platform (GCP) using Infrastructure as Code (IaC) with Terraform or Open Tofu
  .
• Build and manage containerized workloads with Kubernetes (GKE),
  Compute Engine
  , Cloud Functions
  , Cloud Run
  , Cloud Storage
  , and Big Query
  .
• Develop and manage Dev Ops pipelines using Git Lab CI/CD to automate infrastructure provisioning, application deployments, and operational tasks.
• Create automated workflows with workflow engines (e.g.,
  Apache Airflow/Cloud Composer
  , Cloud Workflows
  , Argo Workflows
  ) to support data processing, builds, deployments, and simulations.
• Partner with engineering teams to deliver secure, reliable, and cost-effective infrastructure solutions.
• Monitor, troubleshoot, and optimize GCP environments while staying current with new services and best practices.

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of cloud infrastructure engineering experience, with deep expertise in GCP
  .
• Strong skills in IaC (Terraform/Open Tofu) and hands-on experience with Compute Engine, GKE, Cloud Functions, Cloud Run, Cloud Storage, and Big Query
  .
• Proven background in containerization (Docker, Kubernetes).
• Experience with Dev Ops automation and CI/CD pipelines using Git Lab CI/CD and workflow orchestration tools.
• Proficiency in scripting (
  Python, Bash
  ).
• Solid understanding of networking, security, and access management within cloud environments.
• Excellent problem-solving, communication, and teamwork skills.

• Experience with GCP analytics, monitoring, or logging services (
  Cloud Monitoring, Cloud Logging
  ).
• Passion for aviation, autonomous systems, and the future of mobility.

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Engineering and Information Technology
• Industries: Aviation and Aerospace Component Manufacturing and Engineering Services