below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$149,843–$215,687.
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 Vice President - Lead Site Reliability Engineer joins the Infrastructure Platforms team to drive the design and automation of scalable backup, recovery, and data-protection services. This role involves building distributed systems, platform services, APIs, and cloud-native applications that safeguard sensitive assets. Key responsibilities include embedding site reliability engineering principles through observability, incident learning, and operational readiness reviews while leading architecture for immutable-data protection across hybrid and cloud environments. The position requires expertise in AWS services, infrastructure as code, CI/CD pipelines, and languages like Python, Java, Go, or C#. Candidates must utilize tools such as Dynatrace and Grafana to deliver telemetry and reporting. The work focuses on translating complex regulatory and security requirements into engineered solutions to ensure enterprise-scale cyber resilience and operational stability.
Build and operate distributed systems, platform services, and APIs for enterprise-scale backup and recovery.
Lead architecture for scalable, immutable-data protection and recovery-assurance services across hybrid and cloud environments.
Embed SRE principles through reliability metrics, observability, incident learning, and operational readiness reviews.
Develop cloud-native solutions using AWS services, infrastructure as code, and CI/CD pipelines.
Design preventive security controls and automated validation to meet regulatory and compliance requirements.
Implement automation-first and self-service capabilities to reduce operational toil and improve stakeholder outcomes.
Deliver telemetry and reporting to provide real-time visibility into backup health and recovery readiness.
Apply enterprise-authorized AI capabilities to accelerate infrastructure analysis and design documentation.
What we're looking for
Formal training or certification on site reliability engineering concepts and 5+ years of applied experience.
Demonstrated experience building distributed systems, platform services, APIs, automation frameworks, and cloud-native applications.
Expertise in SRE practices, monitoring, telemetry, incident management, and production operational readiness using platforms like Dynatrace and Grafana.
Deep knowledge of infrastructure engineering domains including networking, storage, deployment, integration, automation, scaling, resilience, or performance assessments.
Strong knowledge of enterprise data protection, backup and recovery, cyber resilience, immutable storage, retention policies, and recovery testing.
Advanced AWS experience spanning backup services, identity and access management, security controls, observability, and infrastructure automation.
Proficiency in Python and at least one additional language such as Java, Go, or C#.
Demonstrated experience using enterprise-authorized AI capabilities to support infrastructure engineering workflows with strong validation habits.
Experience with enterprise backup platforms such as Cohesity or Commvault, and cloud-native backup services such as AWS Backup (preferred).
Familiarity with container orchestration platforms such as Kubernetes or OpenShift in a production environment (preferred).
Exposure to database platforms and cyber-recovery solutions within a regulated financial-services environment (preferred).
Experience with operational analytics and data-driven approaches to infrastructure health and compliance reporting (preferred).
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