Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

 

As a Lead Site Reliability Engineer at JPMorgan Chase within the AI/ML & Data Platform team, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers.  

Job responsibilities

 

Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your teamLeads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levelsCollaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customersDemonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertiseActs as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial lossesDocuments and shares knowledge within your organization via internal forums and communities of practice

 

Required qualifications, capabilities, and skills

Formal training or certification on SRE concepts and 5+ years applied experienceExpertise in SRE principles, reliability, scalability, and performance of application and infrastructure.Expertise in programming with Python and Infrastructure as Code, tools such as Terraform.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.

 

Preferred qualifications, capabilities, and skillsPreferred experience working in AI, ML, or Data engineering.Familiar in container orchestration/Kubernetes.Familiar in  developing Automation frameworks/AI Ops.