Staff Site Reliability Engineer

PathAI•Boston, MA

17h•$165,750 - $224,450•Remote

About The Position

PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. We're looking for a skilled staff level Site Reliability Engineer focused on designing, building, and operating our hybrid cloud/on-prem environment. If you're the right candidate, you'll be exercising all the skills you have and building new ones along the way: Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation. Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability. Designing, building, and operating our data center to support our rapidly growing Machine Learning team. Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment. Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure. Participating in platform on-call rotations and assisting with urgent incident response. At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

Requirements

8+ years of relevant experience.
Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible), and code (Python/GoLang).
You’ve built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus).
You’ve worked with infrastructure as code (Terraform/Cloudformation).
You’ve administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems).
You’re opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS).
Familiarity with modern network designs and comfort operating across network layers.
Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS/ClusterAPI/KVM).
Operations experience: You’ve managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges.
A bachelor's degree in Computer Science or equivalent experience.
An insatiable intellectual curiosity and the ability to learn quickly in a complex space.
Travel: Willingness to travel up to 25% of the time.

Responsibilities

Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation.
Engineering infrastructure patterns for cloud environments in Amazon Web Services - building in security, reliability and scalability.
Designing, building, and operating our data center to support our rapidly growing Machine Learning team.
Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment.
Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure.
Participating in platform on-call rotations and assisting with urgent incident response.