Senior Kubernetes & Cloud Infra Engineer — Scale AI Platform

Edison Scientific, Inc.; New York (NY); On-site; USD 175,000 - 240,000; Full time

Benefits offered by this job

Competitive salary & equity

Full healthcare coverage (premiums for

Parental leave & fertility coverage

Mental health support

Paid parental leave

Wellness benefit

Lunch provided

Commuter benefits

401(k) company matching

Team off-sites

Job summary

Edison Scientific, Inc. is seeking a Senior Member of Technical Staff, Infrastructure Engineer to design, scale, and operate the core platform infrastructure that powers autonomous scientific discovery.

You will own the infrastructure foundation for AI agents and long-running research workloads, collaborating with backend, ML, and research teams to deliver a production-grade environment. The role emphasizes resilient scheduling, lifecycle management, resource orchestration, and best-practice

Qualifications

• 6+ years of software, infrastructure, platform, or DevOps engineering experience.
• Experience working with Kubernetes in development or production environments.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Proficiency in at least one programming language such as Python, Go, Java, or TypeScript.
• Experience with infrastructure-as-code tools such as Terraform, Pulumi, or similar technologies.
• Understanding of containerized applications, networking fundamentals, and distributed systems concepts.
• Experience using CI/CD pipelines, version control systems, and automated testing practices.
• Ability to work independently while collaborating effectively across teams.
• Curiosity, strong problem-solving skills, and a desire to learn new technologies.

Responsibilities

• Build, maintain, and improve Kubernetes-based infrastructure that supports agent workloads, research services, and internal platforms.
• Contribute to cluster scaling, resource management, and operational improvements as platform usage grows.
• Develop and maintain infrastructure tooling, automation, and deployment workflows that improve reliability and developer productivity.
• Help implement monitoring, observability, and alerting systems to ensure platform health and performance.
• Support storage, networking, and security initiatives within our Kubernetes environments.
• Troubleshoot infrastructure and production issues across distributed systems and participate in incident response efforts.
• Collaborate with backend, ML, and research teams to understand workload requirements and implement reliable infrastructure solutions.
• Contribute to infrastructure best practices, documentation, and operational processes.

Skills

Problem solving

Independent work

Cross-team collaboration

CI/CD practices

Tools

Kubernetes

AWS

GCP

Azure

Terraform

Pulumi

Python

Go

Java

TypeScript

Job description

Edison Scientific, Inc. is seeking a Senior Member of Technical Staff, Infrastructure Engineer to design, scale, and operate the core platform infrastructure that powers autonomous scientific discovery.

You will own the infrastructure foundation for AI agents and long-running research workloads, collaborating with backend, ML, and research teams to deliver a production-grade environment. The role emphasizes resilient scheduling, lifecycle management, resource orchestration, and best-practice