below marketmost similar roles pay hereabove market
This role pays less than
75%
of similar roles. Most pay
$145,000–$215,000
— the blue band above.
At the midpoint, this role pays about
$144k
versus about
$180k
for comparable roles.
Based on 240 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
83 open roles
on FindRole.
Listed pay typically runs
$145,000–$177,000
across 35 roles with salary data.
The Staff Site Reliability Engineer joins the engineering team to improve the reliability, resilience, scalability, and operational health of production services. This role involves applying software engineering and systems engineering practices to ensure observability, recoverability, and performance are engineered into systems throughout their lifecycle. You will build automation, define SLIs and SLOs, and drive continuous improvement across CI/CD, Infrastructure as Code, and incident response. Key technologies include Python, SQL, Shell, Java, Spring Boot, and Linux/Unix. You will utilize observability tools like Splunk, AppDynamics, OpenTelemetry, Honeycomb, and Grafana while managing clustered environments involving HBase, Kafka, Solr, and Cloudera-managed Hadoop clusters. The role solves complex cross-service reliability risks and production issues within a high-availability distributed systems environment.
What does a Site Reliability Engineer earn in California?
Median $202800 from 62 postings across 16 companies.
Improve the reliability, scalability, and operational health of production services using software engineering and automation.
Define and implement SLIs, SLOs, error budgets, and other service-health measures.
Enhance observability through metrics, logging, tracing, monitoring, alerting, and dashboards.
Drive continuous improvement across CI/CD, Infrastructure as Code, incident response, and capacity management.
Identify systemic production issues and translate operational experience into improvements in code and architecture.
Lead incident response, troubleshooting, service restoration, and blameless post-incident learning.
Provide technical leadership and escalation support for complex production incidents across multiple teams.
Reduce operational toil by creating reusable automation, tooling, and engineering patterns.
What we're looking for
Candidates must independently possess the eligibility to work in the United States for any employer.
Typically 8+ years of professional experience in Software Engineering, Site Reliability Engineering, Systems Engineering, Cloud/Platform Engineering, DevOps, Infrastructure Engineering, or Architecture.
Experience with software development or scripting using Python, SQL, Shell, and Java/Spring Boot.
Experience with software engineering principles, distributed systems, production troubleshooting, automation, and observability.
Experience with public cloud technologies and architectures, preferably AWS, along with networking, Linux/Unix, and modern application architectures.
Proficiency in Linux, Cloudera Manager, and observability technologies such as Splunk, AppDynamics, OpenTelemetry, Honeycomb, and Grafana.
Experience monitoring and optimizing performance in clustered environments including HBase, Kafka, Solr, and Cloudera-managed Hadoop clusters.
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field, or equivalent practical experience (preferred).