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Early Warning

Fraud prevention and identity verification platform

Senior Site Reliability Engineer - Paze

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Typically 5–8 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 one or more modern programming languages.
  • 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.

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.
  • Participate in an on-call rotation for supported production services and improve its effectiveness and sustainability through automation, observability, runbooks, incident learning, and elimination of recurring operational toil.
  • Reduce operational toil and unnecessary manual intervention through software, automation, reusable patterns, and better engineering practices.

Desired Qualifications

  • Hands-on experience with AWS, 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.
  • A bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field, or equivalent practical experience.

About the Company

Early Warning

Fraud prevention and identity verification platform

Early Warning Services provides fraud prevention, identity verification, and risk management tools for U.S. financial institutions, government entities, and payment companies. Its platform supports real-time payments, deposit and check validation, and identity checks, powered by a nationwide data network that banks share and managed as a data steward to create a single view of fraud. This bank-to-bank data-sharing approach differentiates it from competitors by offering cross-functional fraud visibility and risk management across channels and departments. The company aims to prevent deposit losses and financial crime by delivering trusted data, insights, and verification capabilities across the U.S. financial system.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$22.9M
Headquarters
Scottsdale, AZ
Founded
1990

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