Member of Technical Staff, Senior AI Infrastructure Engineer
About The Position
Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. The team includes scientists and engineers from leading institutions across biology, physics, chemistry, and AI. As a Senior Member of Technical Staff, Infrastructure Engineer, you will design, scale, and operate the core platform infrastructure powering autonomous scientific discovery. You will own the infrastructure foundation for an AI scientist. Long-running scientific research agents require resilient scheduling, lifecycle management, and resource orchestration beyond typical cloud-native workloads. You will establish infrastructure best practices and partner with backend engineers, ML engineers, and researchers to deliver a production-grade environment that helps science move faster.
Requirements
- At least 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.
Nice To Haves
- Security experience, such as working with gVisor or Kata Containers snapshots.
Responsibilities
- Build, maintain, and improve Kubernetes-based infrastructure supporting 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 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.
Benefits
- Competitive salary and equity.
- Full healthcare coverage; the company pays 100% of premiums for employees and their dependents.
- Yearly new parent stipend and fertility coverage through Carrot.
- Mental health support through Rula, an in-network therapist and psychiatrist network with fast availability.
- 12 weeks of paid parental leave for maternity, paternity, and adoption.
- Yearly employer-funded pet care stipend.
- Commuter benefits for transit and parking with pre-tax dollars.
- 401(k) company matching.
- $300 health and wellness benefit quarterly.
- Lunch provided every day employees are in the office, and dinner when working late.
- Regular team off-sites and company events.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
