Staff Site Reliability Engineer

Early Warning (Zelle); Scottsdale (AZ); Hybride; USD 130 000 - 170 000; Plein temps

Résumé du poste

Early Warning is seeking a Staff Site Reliability Engineer to strengthen the reliability, resilience, and observability of production services. You will partner with Software Engineering and other technology teams to ensure reliability throughout the system lifecycle.

The role provides technical leadership across multiple services and drives improvements in CI/CD, observability, and incident response. Hybrid work model with collaboration across teams is expected.

Qualifications

• 8+ years of professional experience in Software Engineering, SRE, or related fields.
• Experience with Python, SQL, Shell, Java, and Spring Boot.
• Strong knowledge of software engineering principles, distributed systems, troubleshooting, automation, and observability.
• Experience with public cloud technologies and architectures, preferably AWS, plus Linux/Unix and modern app architectures.
• Demonstrated analytical, problem-solving, communication, and collaboration skills.

Responsabilités

• Apply DevOps and software engineering practices to improve build, test, deployment, observability, and recovery of services.
• Identify reliability risks via data, evidence, and experiments and guide engineering decisions.
• Define and improve SLIs, SLOs, error budgets, and service-health metrics.
• Improve observability with metrics, logging, tracing, monitoring, alerts, dashboards, and instrumentation.
• Drive CI/CD, IaC, automation, testing, incident response, capacity management, resilience, and operational readiness.
• Identify recurring production issues and translate experience into code, tooling, or architecture improvements.
• Partner with software teams to embed reliability and performance throughout the lifecycle.
• Participate in or lead incident response, troubleshooting, service restoration, and blameless post-incident reviews.
• Provide technical leadership and escalation support for significant incidents and improve on-call effectiveness.
• Reduce toil through reusable patterns and better engineering practices.

Connaissances

Python

SQL

Shell

Java

Spring Boot

AWS

Linux/Unix

Observability

Terraform

Outils

Terraform

Description du poste

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 DevOps 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 defensible engineering recommendations.
• Shares knowledge and contributes to sustainable engineering capability rather than creating dependency on individual expertise.
• Operates across complex cross-team reliability problems and drives technical decisions without formal authority.
• Develops reusable approaches and demonstrates impact materially beyond an individual application or service.

Minimum Qualifications

• 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 appropriate to the level.
• Experience with public cloud technologies and architectures, preferably AWS, along with infrastructure, networking, Linux/Unix, and modern application architectures appropriate to the level.
• Demonstrated analytical, problem-solving, communication, and collaboration skills appropriate