below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$145,375–$215,000.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
The Senior Lead Site Reliability Engineer joins the Infrastructure Platforms and Foundational Services team to define non-functional requirements and availability targets for various product lines. You will create high-quality designs, roadmaps, and program charters while mentoring technologists and championing site reliability adoption. Daily responsibilities include implementing observability designs for complex systems, driving the evolution of critical components, and leading the adoption of AI-assisted reliability workflows across the software development life cycle. You will utilize Java, Go, Python, and Terraform to build high-performance systems and infrastructure as code. Technical expertise includes Kubernetes, Docker, Kafka, and various databases like Neo4j and Pinecone. You will solve reliability problems by managing distributed systems, microservices, and cloud-native technologies while ensuring security, auditability, and resiliency across the enterprise.
Define non-functional requirements and availability targets for application and product lines.
Create and deliver high-quality designs, roadmaps, and program charters for the engineering team.
Implement observability and reliability designs for complex systems to minimize toil and technical debt.
Use enterprise-authorized AI to accelerate reliability design, incident analysis, and requirements traceability.
Drive the evolution and debugging of critical components by analyzing application and platform interdependencies.
Lead the adoption of AI-assisted reliability workflows across the software development life cycle.
Provide tools and solutions to support the firm's growth and site reliability adoption.
Contribute to the site reliability community through internal forums, guilds, and conferences.
What we're looking for
Formal training or certification on site reliability engineering concepts and 5+ years of applied experience.
Advanced knowledge in site reliability culture and principles with demonstrated ability to implement site reliability within an application or platform.
Advanced knowledge of observability including white and black box monitoring, SLOs, alerting, and telemetry using tools like Grafana, Dynatrace, or Prometheus.
Expert-level proficiency in Java, Go, Python, and Terraform for building enterprise-grade applications and infrastructure as code.
Advanced knowledge of distributed systems, microservices architecture, and cloud-native technologies.
Hands-on experience building AI Agents and autonomous systems using frameworks like LangChain, LangGraph, or CrewAI.
Strong experience building production-grade RESTful APIs and designing message queue architectures like Kafka, RabbitMQ, or SQS.
Proficiency with containerization (Docker, Kubernetes), CI/CD pipelines, and GitOps workflows.
Site Reliability Engineering
Platform Engineering
AI/ML Infrastructure
Grafana
Dynatrace
Prometheus
Datadog
Splunk
Databricks
Spark
Python
Docker
Kubernetes
Terraform
CI/CD
Infrastructure as Code
AWS
Big Data
Data Lake
SLI/SLO/SLA
Incident Management