Lead Site Reliability Engineer, AI/ML Platform

JPMorgan Chase • Jersey City, NJ

2d

About The Position

Responsibilities: Design and implement solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast growing demands. Partner with product engineering teams to ensure the AI/ML systems are reliable and high performing. Develop observability, security, automation and fin-ops tools and orchestration. Provide strategic technology leadership by defining and evaluating standards and architecture for reliability, observability and automation frameworks. Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems. Debug and solve issues in a production environment, identify root cause and remediate. Participates in on-call rotations, incident management and escalation workflows. Take full ownership of problems, develop solutions, and acquire new knowledge to complete the task. Mentor and guide junior engineers.

Requirements

• Bachelor's degree in computer science, Information Technology, or equivalent technical qualification with 5+ years professional experience.
• Expertise in SRE principles, reliability, scalability and performance of application and infrastructure.
• Have hands-on experience with cloud platforms (AWS, GCP, Azure) and IaC tools (Terraform, Ansible).
• Extensive experience implementing advanced observability using tools like Open Telemetry, Dynatrace, Grafana, and/or cloud-native services.
• Experience in architecting distributed systems and cloud-native architecture in AWS.
• Systematic problem-solving and troubleshooting skills in a complex system.
• Excellent communication skills and ability to represent and present business and technical concepts to stakeholders.
• Self-managed, self-motivated with strong sense of ownership, urgency, and drive

Nice To Haves

• Prior experience working in AI, ML, or Data engineering.
• Prior experience developing AI Ops/AI Agents.
• Multi cloud experience (AWS, GCP, Azure) is a plus

Responsibilities

• Design and implement solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast growing demands.
• Partner with product engineering teams to ensure the AI/ML systems are reliable and high performing.
• Develop observability, security, automation and fin-ops tools and orchestration.
• Provide strategic technology leadership by defining and evaluating standards and architecture for reliability, observability and automation frameworks.
• Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems.
• Debug and solve issues in a production environment, identify root cause and remediate.
• Participates in on-call rotations, incident management and escalation workflows.
• Take full ownership of problems, develop solutions, and acquire new knowledge to complete the task.
• Mentor and guide junior engineers.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees