Lead Site Reliability Engineer

Overview

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 Consumer & Community Banking Team, you will take the lead in conducting 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 your fellow engineers.

Job responsibilities

Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team

Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels

Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers

Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise

Acts 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 losses

Documents and shares knowledge within your organization via internal forums and communities of practice

Required qualifications, capabilities, and skills

Formal training or certification on site reliability engineering concepts and 5+ years applied experience

Expertise in application development and support with multiple technologies and design techniques.

Experience in developing AI/ML solutions using public cloud architecture, specifically Azure and AWS and experience in Python for AI/ML modeling.

Experience in automation and continuous delivery methods.

Familiarity with agile methodologies, including CI/CD, application resiliency, and security.

Experience in implementing Gen AI services using Azure Open AI models and AWS Bedrock service.

Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform

Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.

Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, Git Lab, Terraform, etc.)

Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)

Experience with troubleshooting common networking technologies and issues

Ability to identify and solve problems related to complex data structures and algorithms

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