Lead Site Reliability Engineer

As a Lead Site Reliability Engineer at JPMorgan Chase within the AIML Data Platforms team, youll play a pivotal role in shaping the future of our globally recognized firm. Youll hold a leadership role in your team, demonstrating strong knowledge across multiple technical domains, and advising others on the technical and business issues they face. Youll have the opportunity to lead resiliency design reviews, break down complex problems into manageable tasks for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers. This role offers you the chance to make a significant impact on the reliability and scalability of our platforms and applications.

• Conceptualize, design, and implement solutions to enhance the reliability and scalability of platforms and applications.
• Analyze defects, propose improvements, and implement fault-tolerant and resilient systems.
• Optimize the performance and utilization of AI ML platform and infrastructure.
• Develop observability, security, automation, and fin-ops tools and orchestration.
• Provide strategic technology leadership by defining and evaluating standards and architecture.
• Build strong cross-functional relationships and design solutions to user problems.
• Debug and solve issues in a production environment.

• Formal training or certification on Site Reliability Engineering concepts and 5+ years applied experience
• Expertise in programming with Python and cutting-edge software engineering practices.
• Experience in designing and architecting large-scale distributed systems and cloud-native architecture.
• Experience with developing on Cloud, especially AWS, and knowledge in Infrastructure as Code tools such as Terraform.
• Systematic problem-solving and troubleshooting skills in a complex system.
• Excellent communication skills and ability to present business and technical concepts to stakeholders.
• Strong sense of ownership, urgency, and drive.

• Prior experience working in AI, ML, or Data engineering.
• Familiarity with modern front-end technologies.
• Exposure to cloud technologies.