Lead high-stake efforts to deliver the Flyways AI Platform to government customers in a secure cloud infrastructure.
Posted by employer 4 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
Requirements
Not disclosed in this posting: compensation, years of experience, work arrangement.
Joblaze summary
In this role, the Cloud Platform Engineer at Air Space Intelligence is responsible for deploying, scaling, and maintaining the Flyways AI Platform for government clients, working closely with product engineers to enhance software solutions. Key skills include expertise in AWS, Kubernetes, Docker, and Python, along with a strong grasp of CI/CD pipelines and large-scale systems management. This position is ideal for someone with a solid technical background and leadership capabilities, suited for a mid to senior-level professional. The company emphasizes collaboration across teams and values adaptability to evolving business needs.
Joblaze insights
Quick facts
From the original posting
About Air Space Intelligence
ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action. ASI is leading the way and pushing 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.
Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
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.
How 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.
ASI works with export controlled technology and restricted U.S. Government data, including on contracts mandating U.S. immigration status and location restrictions for performing personnel. Employment offers are contingent on ability to timely obtain all required authorizations for contemplated job duties.