Staff Site Reliability Engineer at Early Warning® | AZ, US | Rezi

Staff Site Reliability Engineer at Early Warning®

Staff Site Reliability Engineer

Early Warning® · AZ, US

3 weeks ago

Staff Site Reliability Engineer

Early Warning® · AZ, US

23 days ago
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About the Role

The Staff Site Reliability Engineer applies software engineering and systems engineering practices to improve the reliability, resilience, scalability, and operational health of production services. This role provides technical leadership across multiple services and engineering teams, identifying cross-service risks and influencing engineering decisions beyond an individual application or team.

Responsibilities

  • Use software engineering, automation, and DevOps principles to continually improve how services are built, tested, deployed, observed, operated, and recovered.
  • Use data, evidence, experimentation, and rigorous engineering analysis to identify reliability risks, test assumptions, and guide technical decisions.
  • Define, implement, or improve SLIs, SLOs, error budgets, and other service-health measures.
  • Improve observability through metrics, logging, tracing, monitoring, alerting, dashboards, and service-health instrumentation.
  • Drive continuous improvement across CI/CD, observability, deployment practices, Infrastructure as Code, automation, testing, incident response, capacity management, resilience, and operational readiness.
  • Identify recurring or systemic production issues and translate operational experience into improvements in code, architecture, automation, tooling, and engineering practices.
  • Partner with Software Engineering teams to incorporate reliability, resiliency, scalability, performance, observability, recoverability, and operational readiness throughout the development lifecycle.
  • Participate in or lead incident response, troubleshooting, service restoration, and blameless post-incident learning.
  • Provide technical leadership and escalation support for significant or complex production incidents and improve on-call effectiveness and sustainability.
  • Reduce operational toil and unnecessary manual intervention through software, automation, reusable patterns, and better engineering practices.

Requirements

  • Typically 8+ years of relevant professional experience in Software Engineering, Site Reliability Engineering, Systems Engineering, Cloud/Platform Engineering, DevOps, Infrastructure Engineering, Architecture where applicable, or a comparable technical discipline.
  • Experience with software development or scripting using Python, SQL, Shell, 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 infrastructure, networking, Linux/Unix, and modern application architectures.
  • Demonstrated analytical, problem-solving, communication, and collaboration skills.
  • Experience with observability technologies such as Splunk, AppDynamics, OpenTelemetry, Honeycomb, and Grafana.
  • Proficiency in Linux and Cloudera Manager.
  • Experience monitoring and optimizing performance in clustered environments, including HBase, Kafka, Solr, and Cloudera-managed Hadoop clusters.
  • Candidates must independently possess the eligibility to work in the United States, for any employer, at the date of hire.
  • This position is ineligible for employment Visa sponsorship.

Skills

  • Python
  • SQL
  • Shell
  • Java
  • Spring Boot
  • AWS
  • Splunk
  • AppDynamics
  • OpenTelemetry
  • Honeycomb
  • Grafana
  • Linux
  • Cloudera Manager
  • HBase
  • Kafka
  • Solr
  • Hadoop
  • CI/CD
  • Infrastructure as Code
  • Containers
  • Orchestration
  • Observability
  • Monitoring
  • Alerting
  • Software-delivery automation
  • SLIs
  • SLOs
  • Error budgets
  • Incident management
  • Performance analysis
  • Capacity management
  • Resilience testing
  • Disaster recovery
  • Operational readiness

Location

  • Phoenix, AZ
  • Chicago, IL
  • San Francisco, CA

Work Type

  • Hybrid
  • Full-time

Experience Level

  • Staff

Education Level

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field, or equivalent practical experience.

Salary/Compensations

  • $124,000 - $165,000 (Phoenix, AZ/ Chicago, IL)
  • $149,000 - $198,000 (San Francisco, CA)

Benefits

  • Competitive medical (PPO/HDHP), dental, and vision plans
  • Company contributions to your Health Savings Account (HSA)
  • Pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses
  • 401(k) Retirement Plan with 100% Company Safe Harbor Match on your first 6% deferral
  • Flexible Time Off for Exempt (salaried) employees
  • Generous PTO for Non-Exempt (hourly) employees
  • 11 paid company holidays
  • Paid volunteer day
  • 12 weeks of Paid Parental Leave
  • Maven Family Planning support (egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work)

About the Company

  • Early Warning has powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze®, and so much more.
  • As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Equal Opportunity

  • Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
  • Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws.
  • The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.