Senior Lead Site Reliability Engineer
at J.P. Morgan
Posted 18 hours ago
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- Compensation
- Not specified
- City
- Jersey City
- Country
- United States
Currency: Not specified
Senior Lead SRE for JPMorgan Chase's Commercial and Investment Bank Technology organization. Lead resiliency design reviews, mentor engineers, and drive observability, reliability, and automation (including AI-driven solutions) across applications and platforms. Act as primary contact during major incidents, collaborate with stakeholders to set SLOs and error budgets, and guide CI/CD, container orchestration, and AWS-based operations.
Location: Jersey City, NJ, United States
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 Senior Lead Site Reliability Engineer at JPMorgan Chase within the Commercial and Investment Bank 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
Creates high quality designs, roadmaps, and program charters that are delivered by you or the engineers under your guidance
Provides advice and mentoring to other engineers and acts as a key resource for technologists seeking advice on technical and business-related issues
Demonstrates site reliability principles and practices every day and champions the adoption of site reliability throughout your team
Collaborates with others to create and implement observability and reliability designs for complex systems that are robust, stable, and do not incur additional toil or technical debt
Works toward becoming an expert on the applications and platforms in your remit while understanding their interdependencies and limitations
Evolves and debug critical components of applications and platforms
Employ AI-driven solutions to streamline processes and enhance operational efficiency.
Utilize data-driven analytics and AI technologies to automate detection, diagnosis, resolution processes, elevate service levels and drive continuous improvement.
Engage stakeholders to establish realistic service level objectives and error budgets, ensuring alignment with customer expectations.
Exhibit advanced technical proficiency in one or more domains, proactively addressing technology-related bottlenecks.
Serve as the primary contact during major incidents, demonstrating the ability to swiftly identify and resolve issues to prevent financial losses.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Advanced knowledge in site reliability culture and principles with demonstrated ability to implement site reliability within an application or platform
Advanced knowledge and experience in observability such as white and black box monitoring, service level objectives, alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
Fluency in at least one programming language such as (e.g., Python, Java Spring Boot, .Net, etc.)
Advanced knowledge of software applications and technical processes with considerable depth in one or more technical disciplines
Ability to communicate data-based solutions with complex reporting and visualization methods
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.)
AWS Cloud experience across multiple areas
Recognized as an active contributor of the engineering community
Continues to expand network and leads evaluation sessions with vendors to see how offerings can fit into the firm’s strategy
Preferred qualifications, capabilities, and skills
Experience in banking / financial domain is preferred
AWS Cloud solution architect certification preferred
Manage and optimize various types of databases, including relational, NoSQL databases.
Experience with game days, chaos experiments, or failure-mode analysis to improve service robustness.
A background in mentoring engineers or leading technical knowledge-sharing, especially around AI and SRE best practices.
