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Site Reliability Engineer

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: Early Warning Services LLC
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
Salary/Wage Range or Industry Benchmark: 124000 - 165000 USD Yearly USD 124000.00 165000.00 YEAR
Job Description & How to Apply Below
At Early Warning, we’ve 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.

Early Warning follows a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting 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.

Role Summary The Staff Site Reliability Engineer applies software engineering and systems engineering practices to improve the reliability, resilience, scalability, and operational health of production services. The role partners with Software Engineering and other technology teams to ensure reliability, observability, recoverability, performance, and operational readiness are engineered into systems throughout their lifecycle.

The role provides technical leadership across multiple services and engineering teams, identifying cross-service risks and influencing engineering decisions beyond an individual application or team.

Core Responsibilities
· Use software engineering, automation, and Dev Ops principles and practices to continually improve how services are built, tested, deployed, observed, operated, and recovered.
· Use data, evidence, experimentation, and rigorous engineering analysis appropriate to the level to identify reliability risks, test assumptions, and guide technical decisions.
· Define, implement, or improve SLIs, SLOs, error budgets, and other service-health measures appropriate to the scope of responsibility.
· 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 appropriate to the level.
· Provides technical leadership and escalation support for significant or complex production incidents and improves on-call effectiveness and sustainability across multiple services and teams.
· Reduce operational toil and unnecessary manual intervention through software, automation, reusable patterns, and better engineering practices.

Leveling Intent Staff represents the transition from owning reliability outcomes to driving reliability engineering across teams. Staff SREs identify cross-service patterns and risks, develop reusable solutions, and multiply engineering capability across teams.

Level Expectations
· Acts as a force multiplier across teams through reusable engineering patterns, tooling, automation, technical guidance, mentoring, and knowledge transfer that enable engineers to solve reliability problems more effectively.
· Demonstrates software engineering, systems thinking, troubleshooting, and production reliability capabilities appropriate to the level.
· Applies evidence-driven reasoning and technical rigor to distinguish observed facts from assumptions and make…
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