Description Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch reliability and observability for our most critical platforms. As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of reliability, observability, and performance challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction on site reliability practices to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code for reliability tooling and telemetry pipelines, and reviews and debugs code written by others Drives decisions that influence reliability design, observability architecture, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of site reliability, observability, or telemetry engineering Leads resiliency design reviews and breaks up complex reliability problems into digestible work for other engineers, acting as a technical lead for large-sized products Acts as the main point of contact during major incidents, demonstrating the skills to identify and solve issues quickly to avoid financial losses, and champions blameless postmortem culture Collaborates with team members and stakeholders to define comprehensive service level indicators, service level objectives, and error budgets Designs, implements, and maintains operational reliability for large-scale OpenTelemetry pipelines on hybrid on-prem/cloud environments, supporting telemetry ingestion, processing, and export to backends such as InfluxDB, Prometheus, Elasticsearch, and OpenSearch Drives the assessment, refactoring, and incremental migration of custom legacy telemetry collection code to standardized OpenTelemetry instrumentation, reducing technical debt while maintaining system stability Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices, and influences peers and project decision-makers to consider the use and application of leading-edge observability and reliability technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience delivering system design, application development, testing, and operational stability Advanced knowledge of reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices, with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.) Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.) Advanced 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, Elasticsearch, 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.) Hands-on experience with the design, deployment, and operation of OpenTelemetry collectors in production environments, focusing on technical aspects such as configuring, optimizing, and troubleshooting OTLP endpoints and receivers Ability to tackle reliability design and functionality problems independently with little to no oversight Practical cloud native experience Ability to expand and collaborate across different levels and stakeholder groups Preferred qualifications, capabilities, and skills Knowledge of distributed tracing, metrics, and logging best practices Certification in AWS, Kubernetes, or relevant technologies Proven track record in system health monitoring, capacity management, and blameless postmortems for high-availability services Deep understanding of distributed system design principles, networking (TCP/IP, DNS, load balancing), and Linux internals Contributions to open-source observability or telemetry projects Experience working with agent control planes and management protocols; hands-on knowledge of OpAMP is highly desirable