below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$142,500–$214,000.
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.
As a Site Reliability Engineer III within the Corporate Technology Risk technology team, you will solve complex business problems by configuring, maintaining, and optimizing applications and their associated infrastructure. You will independently decompose and iteratively improve existing solutions through code and cloud infrastructure while ensuring end-to-end operations, availability, reliability, and scalability. Your daily responsibilities include implementing infrastructure, configuration, and network as code, and collaborating with software engineers to develop deployment approaches using automated continuous integration and continuous delivery pipelines. You will utilize enterprise-authorized AI capabilities to accelerate incident triage and identify reliability risks. Required skills include proficiency in Python, Java/Spring Boot, or .Net, along with experience in observability, container orchestration like Kubernetes or Docker, and tools such as Jenkins, GitLab, Terraform, Grafana, and Splunk.
What does a Site Reliability Engineer earn?
Median $180200 from 121 postings across 36 companies.
Configure, maintain, monitor, and optimize applications and their associated cloud infrastructure.
Implement infrastructure, configuration, and network as code for assigned platforms.
Design, develop, and test deployment and reliability approaches using automated CI/CD pipelines.
Use enterprise-authorized AI to accelerate incident triage, troubleshooting, and post-incident analysis.
Apply AI capabilities to identify patterns in operational signals that indicate reliability risk or recurring toil.
Validate AI-assisted operational recommendations before applying changes while following data sensitivity requirements.
Resolve complex problems proactively using service level indicators and objectives before they impact customers.
Build level designs and support the adoption of site reliability engineering best practices within the team.
What we're looking for
Formal training or certification on site reliability engineering concepts and 3+ years of applied experience.
Proficiency in site reliability culture and principles with the ability to implement them within an application or platform.
Proficiency in at least one programming language such as Python, Java/Spring Boot, or .Net.
Working knowledge of using enterprise-authorized AI capabilities to support SRE workflows with strong validation habits and data sensitivity awareness.
Ability to validate AI-assisted operational recommendations before applying changes and following data sensitivity requirements.
Proficiency in software applications and technical processes within a technical discipline such as Cloud or AI.
Experience in observability including white and black box monitoring, service level objective alerting, and telemetry collection.
Experience with continuous integration and continuous delivery tooling (preferred).
Site Reliability Engineering
Python
Java
Spring Boot
.NET
EKS
EC2
Terraform
Kubernetes
Observability
CloudWatch
DNS
Route 53
ALB
NLB
mTLS
AI
Network as Code