Lead Site Reliability Engineer - Spark, AWS, Python / Java programming

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 Finance Technology, 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 team
 Leads initiatives to improve the reliability and stability of your teams 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 software engineering concepts and 5+ years Site reliability engineering experience in Spark, AWS, Python / Java programming
 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
 Fluency in at least one programming language such as (e.g., Python, 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.)
 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
 Drive to self-educate and evaluate new technology
 Ability to teach new programming languages to team members

Preferred qualifications, capabilities, and skills
 Experience in banking domain
 Experience in code level,