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 and Data organization(AMDP), you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and take charge on the technical and business issues, 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. You will also be responsible for release management, making sure to grasp the scope of release and act as a bridge across teams to enable frictionless releases. Take lead to put best in class release management tools and practices,  

Job responsibilities

Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your teamAct as a release manager, responsible for developing required tooling and managing co-ordination across teams for frictionless releases.Leads 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 software engineering concepts and 5+ years applied experienceDeep 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 platformFluency 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 disciplinesProficiency 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 issuesAbility to identify and solve problems related to complex data structures and algorithmsAbility to teach new programming languages to team membersAbility to expand and collaborate across different levels and stakeholder groups

Preferred qualifications, capabilities, and skills

Drive to self educate and self learn new technology