AI Operations Engineer (IT/Internal Infrastructure)

• Information Systems at Lambda is responsible for building and scaling the internal systems that power our business
• We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT
• Design, write, and deliver software and services to improve the availability, scalability, reliability, and efficiency of Lambda’s internal IT systems and platforms
• Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional events
• Work with Lambda Engineering and internal teams to Influence and create new designs, architectures, standards, and methods for large-scale distributed systems
• Engage in service capacity planning and demand forecasting, software performance analysis, and system tuning
• Be an excellent communicator, producing documentation and related artifacts for the systems you are responsible for

Benefits

• Health, dental vision
• 401k match
• 5 sick days and 12 paid holidays
• Flexible PTO
• Paid parental, medical, and caregiver leave- Have a keen interest in system design, architecting for performance, scalability, and experience with multiple cloud infrastructure platforms (AWS, GCP, Azure, etc.)
• Have an urge to collaborate and communicate asynchronously, combined with a desire to record and document issues and solutions
• Have solid programming skills: Python, Go, etc
• Think carefully about systems: edge cases, failure modes, behaviors, and specific implementations
• Know and prefer configuration management systems and toolchains (Chef, Ansible, Terraform, GitHub Actions, etc.)
• Have an urge for delivering quickly and effectively, and iterating fast
• Have an enthusiastic, go-for-it attitude. When you see something broken, you can’t help but fix it
• Experience and interest in ML/AI workloads and compute
• A positive attitude, combined with a desire to learn and collaborate
• Practical experience implementing and managing paging, alerting, and on-call scheduling flows