Staff Data Center Engineer

PathAI; New York (NY); Híbrido; USD 146.000 - 225.000; Jornada completa

Descripción de la vacante

PathAI is seeking a staff level Site Reliability Engineer to design, build, and operate our hybrid AI/ML training and inference environment. You will advance operations by implementing SRE best practices, focusing on users, monitoring, automation, and incident response.

The role includes designing data center capabilities, on-prem security per NIST/ISO, and integrating with existing cloud infrastructure to sustain rapid ML development.

Formación

• BS in Computer Science, Computer Engineering, Electrical Engineering or closely related field.
• 8 years of experience in hardware/facilities, networking, automation, or related areas.
• Experience with modern datacenter network designs and multi-layer operations.
• Experience administering physical hardware stacks in production (iDRAC/IPMI/NVIDIA UFM/Juniper).
• Familiar with virtualization/containerization platforms (EKS-Anywhere/ClusterAPI/KVM).
• Strong storage experience for high-performance workloads (Quobyte, S3, FSx, EFS).
• Proficient in automation tools (Ansible/RedFish) and scripting.
• Experience building monitoring/observability with Datadog/Grafana/Prometheus.
• Operational background in incident response, scaling and high-growth environments.
• Willingness to travel to onsite datacenter locations (quarterly).

Responsabilidades

• Design, build and operate our data center to support the ML team.
• Implement SRE best practices focused on users, monitoring and automation.
• Design and operate on-prem environments compliant with NIST/ISO standards.
• Integrate on-prem with existing cloud infrastructure for a hybrid cloud.
• Improve reliability and resilience through root-cause analysis.
• Participate in platform on-call rotations and incident response.

Conocimientos

SRE fundamentals

Root-cause analysis

Automation scripting

Incident response

Monitoring observability

Onsite data center travel

Hybrid cloud

Educación

BS in Computer Science

Herramientas

Datadog

Grafana

Prometheus

Ansible

Redfish

iDRAC/IPMI

NVIDIA UFM

KVM

EKS-Anywhere

ClusterAPI

Descripción del empleo

PathAI's mission is to improve patient outcomes with AI-powered pathology.

PathAI is 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 AI/ML training and inference environment.

The Opportunity

• You will advance the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation.
• You will design, build and operate our data center to support our rapidly growing Machine Learning team.
• You will build highly-secure on-premises environments handling NIST/ISO standards.
• You will integrate on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment.
• You will improve the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure.
• You will participate in platform on-call rotations and assist with urgent incident response.

Who You Are:(Required)

• You have a BS in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering or closely related technical field.
• You have 8 years experience working in physical hardware/facilities, networking, automation or other relevant areas.
• You have demonstrated experience with modern datacenter network designs and comfort operating across network layers.
• You’ve administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems).
• You have demonstrated experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS-Anywhere/ClusterAPI/KVM).
• You have strong expertise in storage solutions and optimizing them for high-performance workloads (e.g., Quobyte, S3, FSx, EFS).
• You are highly proficient with automation tools; you eliminate toil by automating everything through scripting, configuration management tools (Ansible/RedFish).
• You’ve built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus).
• You have a proven operational background managing critical production systems, with extensive experience in incident response, infrastructure scaling, and navigating high-growth challenges.
• You have the ability to travel to onsite Datacenter location(s) as needed (most likely a maximum of once per quarter).

Preferred:

• You have outstanding interpersonal, verbal, and written communication and influencing skills: have built and cultivated important relationships both inside and outside of the organization and externally; have proven abilities to influence internal partners and stakeholders, thought leaders, national advocacy organizations, national standard-setting bodies, and other relevant external parties.

• You have strong analytical and critical thinking skills with attention to detail; you have the ability to manage multiple projects and drive results in a fast-paced environment; you have a collaborative mindset with demonstrated leadership capabilities..

This is a hybrid position based in Boston (preferred), NYC, Indianapolis. (A remote option may be considered for an exceptional candidate.)
Relocation benefits are not available for this position.

The expected salary range for this position based on the primary location Boston, MA is $146,250 - $225,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.

PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.