This role pays more than
76%
of similar roles. Most pay
$152,150–$214,875
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$184k
for comparable roles.
Based on 238 similar postings.
Employer
About Early Warning Services
Early Warning Services is a fintech company that operates the Zelle person-to-person payments network, the Paze digital checkout wallet, and Certos fraud prevention and identity risk solutions for financial institutions.
Early Warning Services currently has
64 open roles
on FindRole.
Listed pay typically runs
$143,500–$183,000
across 60 roles with salary data.
The Principal Site Reliability Engineer joins the engineering team to design availability and resiliency patterns for infrastructure and applications. This role involves building automation tools for deployment, configuration changes, and disaster recovery while designing observability systems to proactively detect issues. The engineer will identify performance bottlenecks, manage capacity planning, and serve as a technical liaison by providing runbooks to support teams. Key responsibilities include implementing microservice design patterns and mentoring team members on site reliability trends. The role requires proficiency in Python, Go, Java, or Ruby; experience with Docker, Kubernetes, and Swarm; and familiarity with messaging frameworks like Kafka, SQS, or JMS. Additionally, the candidate must possess skills in Linux administration, networking fundamentals, and CI/CD pipelines using Git, Chef, Maven, and Jenkins while managing database technologies such as Oracle, DynamoDB, and Aurora.
What does a Site Reliability Engineer earn in California?
Median $214000 from 60 postings across 17 companies.
Design and implement software tools to improve application performance, availability, scalability, and latency.
Build automation and tooling for deployment, configuration changes, and disaster recovery scenarios.
Develop and manage observability and monitoring systems to proactively detect problems and identify root causes.
Analyze application capacity continuously to provide scaling recommendations to product and business teams.
Identify performance bottlenecks and collaborate with cross-functional teams to troubleshoot and resolve issues.
Create technical documentation and runbooks for Level 1 and Level 2 support teams.
Provide feedback on software development lifecycles by implementing microservice design patterns and modern reliability techniques.
Mentor team members and serve as a subject matter expert on site reliability engineering trends.
What we're looking for
Candidates must possess eligibility to work in the United States at the date of hire.
A Bachelor's degree in Business, Computer Science, or a related field is typically required.
12+ years of experience managing complex projects in a technical or software development environment is required.
Proven ability to lead teams through high-priority incidents and improve the RCA process is required.
Experience designing and developing with Python, Go, Java, Docker, Microservices Architecture, and messaging frameworks like Kafka, SQS, or JMS is required.
Strong understanding of Linux administration, networking fundamentals, and CI/CD pipelines including GIT, Chef, Maven, and Jenkins is required.
Proven track record of designing and building complex end-to-end systems as a full stack developer is required.
Experience in 24/7 production environments and knowledge of AWS, Docker, Kubernetes, or Swarm are preferred.
Site Reliability Engineering
Java
Spring Framework
Python
Go
DevOps
CI/CD
Configuration Management
Distributed Systems
Automation
Observability
ITSM
Root Cause Analysis
Capacity Planning
Monitoring
Site Reliability Engineering
Oracle Cloud Infrastructure
Linux
Windows Server
Python
PowerShell
Bash
Ansible
Chef
infrastructure-as-code
Networking
DNS
Firewalls
Load Balancing
Certificates
incident-management
Observability
Capacity Planning
Site Reliability Engineering
Linux
Windows Server
Python
Bash
PowerShell
Ansible
Chef
Oracle Cloud Infrastructure
infrastructure-as-code
Monitoring
Logging
Observability
Capacity Planning
incident-management
Patching
Citrix