As a Lead Site Reliability Engineer at JPMorgan Chase within the Valuation Control Technology team, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains (especially Cloud), 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

Part of the follow the sun application support team managing production technology incidents to resolution, ensuring timely engagement, escalation and effective communication to business, technology and vendor partners Acts as a main point of contact during major incidents for the application and demonstrates the skills to identify and solve issues quickly to avoid financial losses Leads initiatives to improve the reliability and stability of the team’s applications and platforms using data-driven analytics to improve service levels Collaborates with SRE team members, developers and business stakeholders to identify comprehensive service level indicators then establish the corresponding service level objectives and error budgets. Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team Use Cloud experience to guide the wider SRE and Developers teams as the platform transitions from on-premises processes to Cloud based solutions. 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 Documents and shares knowledge within your organization via internal forums and communities of practice

 

Required qualifications, capabilities, and skills

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 Solid real-world production expertise in Cloud technologies especially AWS  Fluency in at least one programming language such as (ideally Python, but similar is acceptable e.g. Java Spring Boot, .Net, etc.) Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines 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, GitLab, Terraform, etc.) Ability to identify and solve problems related to complex data and algorithms Drive to self-educate and evaluate new technology Ability to teach new programming languages to team members Ability to expand and collaborate across different levels and stakeholder groups

 

Preferred qualifications, capabilities, and skills

Financial services industry expertise Experience of Python or similar scripting languages Experience with AWS or other Cloud technology stacks