Cloud Platform Engineer (Civil Aviation)

Air Space Intelligence•Boston, MA

19h

About The Position

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. We are modernizing America’s air traffic control system on an accelerated timeline, tackling one of the world’s most complex real-time optimization challenges: safely coordinating tens of thousands of daily flights in a dynamic, safety-critical environment. Our team is building next-generation trajectory prediction and decision-support systems while preparing the airspace for emerging technologies like commercial space operations and advanced air mobility. This mission-critical work demands exceptional precision, resilience, and reliability to support the safety and efficiency of the national airspace. As a Cloud Platform Engineer on the Civil Aviation team, you will build and operate the cloud infrastructure powering mission-critical aviation systems used in real-world operations. This is a deeply hands-on role where you’ll work directly in production environments, ensuring systems are scalable, resilient, and continuously deployable. You’ll develop and improve the core infrastructure that engineers rely on every day shipping infrastructure-as-code, working with Kubernetes-based systems, and contributing to deployment pipelines that enable fast, safe releases. Your work will directly impact system reliability, performance, and uptime in a 24/7 environment. You will partner closely with backend, product, and platform engineers to deploy services, improve observability, and respond to real production challenges debugging issues, strengthening system resilience, and continuously raising the bar for reliability. Expect to work on problems like scaling distributed systems, improving release safety, and building automation that reduces operational toil and keeps systems running smoothly.

Requirements

Strong experience building and operating production-grade cloud infrastructure
Experience with AWS (preferred) or other cloud providers (GCP, Azure)
Proficiency with Kubernetes and containerized environments
Experience with infrastructure-as-code tools (e.g., Terraform, Helm)
Experience designing and maintaining CI/CD pipelines for reliable, frequent production releases
Strong understanding of distributed systems and scalability
Experience with observability and monitoring tools (e.g., Grafana, Prometheus)
Familiarity with production safety practices, including testing, rollout strategies, and rollback mechanisms
Experience operating and supporting 24/7 production systems
Ability to contribute to design reviews and architectural decisions
Strong collaboration skills and ability to work across teams in a mission-critical environment

Nice To Haves

Exposure to regulated cloud environments (e.g., FedRAMP) and familiarity with progressive deployment techniques (e.g., canary releases)
Exposure to high-availability systems (e.g., “four nines” reliability)
Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality

Responsibilities

Build and operate the cloud infrastructure powering mission-critical aviation systems used in real-world operations.
Work directly in production environments, ensuring systems are scalable, resilient, and continuously deployable.
Develop and improve the core infrastructure that engineers rely on every day.
Ship infrastructure-as-code.
Work with Kubernetes-based systems.
Contribute to deployment pipelines that enable fast, safe releases.
Partner closely with backend, product, and platform engineers to deploy services, improve observability, and respond to real production challenges.
Debug issues, strengthen system resilience, and continuously raise the bar for reliability.
Work on problems like scaling distributed systems, improving release safety, and building automation that reduces operational toil and keeps systems running smoothly.

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