Cloud Platform Engineer (Defense)

Mosaic.tech; Boston (MA); On-site; USD 90,000 - 120,000; Full time

Job summary

Air Space Intelligence in Boston is seeking a candidate to lead high-stakes efforts to deliver the Flyways AI Platform. You will deploy, scale, and maintain services in a secure cloud infrastructure, collaborate with product engineers, and write production code in Python. Ideal applicants will have experience with AWS, Kubernetes, Docker, and CI/CD pipelines, and must possess the ability to work independently while adapting to changing business priorities. Travel may be required.

Qualifications

• Experience with managing large-scale and complex systems.
• Deep understanding of CI/CD pipelines.
• Experience with writing production code in Python.

Responsibilities

• Lead efforts to deliver the Flyways AI Platform to government customers.
• Deploy, scale, and maintain services in a secure cloud infrastructure.
• Collaborate with product engineers to add features and integrate data.

Skills

AWS

Kubernetes

Docker

Python

Terraform

CI/CD pipelines

Tools

Grafana

PostgreSQL

Helm

Job description

About Air Space Intelligence

ASI enables success for the world's most complex operations. From critical infrastructure to defense, we serve major airlines and U.S. and allied government organizations, providing our partners with a decision advantage from planning to operations. Backed by top-tier investors—including Andreessen Horowitz, Spark Capital, and Renegade Partners—we are boldly investing in R&D and growth to push the boundaries of what’s possible.

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 (AWS, K8s, Docker, Terraform, Helm).
• Deep understanding of CI/CD pipelines.
• Experience with managing large-scale and complex systems.
• Experience with writing production code in Python.
• Advanced knowledge of Kubernetes, Docker, and an OO Language along with AWS, 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.