Cloud Platform Engineer (Defense)
Apply on Air Space Intelligence's site
About Air Space Intelligence
Air Space Intelligence is a software-first aerospace company. We develop AI-powered mission control systems to ensure the world’s most complex air operations succeed. We serve major U.S. airlines as well as U.S. and allied government organizations. Our software is used in mission-critical operations to provide our partners with a decision advantage from the air operation center to the flight deck. Air Space Intelligence is well-funded by top-tier investors, and boldly investing in R&D and growth.
What you will do:
You will lead high-stake efforts to deliver the Flyways AI Platform to our government customers. You’ll deploy, scale, and maintain our services in a secure cloud infrastructure. You’ll spend your time coding software solutions alongside our product engineers, from adding new features to integrating new data sources that amplify the value our products deliver to the warfighter.
What we value:
- Ability to maintain and grow our infrastructure stack (GCP, K8s, Docker, Terraform, Helm).
- Deep understanding of CI/CD pipelines (Jenkins, CircleCi).
- Experience with managing large-scale and complex systems.
- Strong experience (4+ years) writing production code in Python or other programming languages.
- Advanced knowledge of Kubernetes, Docker, and an OO Language along with GCP, PostgreSQL, Helm, Terraform, Python 3, Grafana.
- An aptitude to lead and work independently.
- Ability to collaborate with others across multiple teams.
- Ability to travel.
- Flexibility to adjust to changing business priorities.
- Strong interest in working with DoD technology.
- Capacity to perform in compliance with U.S. export control laws.
How do we hire:
We look at the interview process not as a screening or test, but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.
About Air Space Intelligence
A software-first aerospace company.
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