Staff Site Reliability Engineer

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 to the scope of the role.

· Required qualifications include experience with observability technologies such as Splunk, AppDynamics, OpenTelemetry, Honeycomb, and Grafana, along with proficiency in Linux and Cloudera Manager.

· Experience monitoring and optimizing performance in clustered environments, including HBase, Kafka, Solr, and Cloudera-managed Hadoop clusters.

Preferred Qualifications

· Hands-on experience with AWS is preferred, or comparable experience with another major cloud platform such as Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI).

· Experience developing, deploying, operating, or improving highly available production software or distributed systems.

· Experience with CI/CD, Infrastructure as Code, containers or orchestration, observability, monitoring, alerting, and software-delivery automation.

· Experience with SLIs, SLOs, error budgets, incident management, performance analysis, capacity management, resilience testing, disaster recovery, or operational readiness appropriate to the level.

· Experience creating reusable automation, tooling, platforms, patterns, or practices that improve engineering effectiveness.

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

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.

• The base pay scale for this position in:
• Phoenix, AZ/ Chicago, IL in USD per year is: $124,000 - $165,000.
• San Francisco, CA in USD per year is: $149,000 - $198,000.
• Additionally, candidates are eligible for a discretionary incentive plan and benefits.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope