Staff Software Engineer – Customer Reliability Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the design and execution of foundational systems to ensure reliability, scalability, performance, and efficiency.

• Create enterprise blueprints for observability, automation, and cloud infrastructure architecture.

• Lead the selection, configuration, security, resilience, performance optimization, and monitoring of production tools.

• Establish Service Level Objectives, manage error budgets, and facilitate blameless post-incident review practices.

• Develop, test, deploy, and maintain software solutions.

• Create both functional and destructive test suites to facilitate swift production deployments.

• Approach technical challenges with a broad, global perspective.

• Collaborate with Product Teams to ensure user stories are ready for developers, clear, and testable.

• Engage in agile processes alongside team members.

• Address inquiries from product and engineering teams.

• Provide guidance to junior engineers on modern software development frameworks and lead technical discussions.

• Identify gaps within the team and propose enhancements for productivity.

• Influence technical decisions across teams without formal authority.

• Mentor engineers at all experience levels and raise engineering standards.

• Typically reports to a Software Engineering Manager or Senior Manager.

• Generally has no direct reports.

⛳️ Requirements

• Must be at least eighteen years of age.

• Must have legal authorization to work in the United States.

• Bachelor's degree or equivalent in a relevant field.

• Minimum of 3 years of professional experience.

• Preferred 8+ years of applicable experience in Cloud Operations, Site Reliability Engineering, DevOps, or Software Engineering within a high-scale, distributed setting.

• Extensive expertise in designing, deploying, and managing high-availability, multi-region production architectures on Google Cloud Platform or AWS/Azure.

• Proficient in Go, Python, or Java at a production level.

• In-depth knowledge of observability tools like Datadog, Prometheus, Grafana, or Splunk.

• Competence in defining and implementing SLIs, SLOs, and alerting strategies.

• Mastery of Infrastructure as Code tools such as Terraform or CloudFormation.

• Experience with CI/CD pipeline automation using GitHub Actions or Jenkins.

• Advanced operational expertise with Kubernetes, container orchestration, and microservices architectures.

• Proven experience in leading incident response, conducting root-cause analysis, and facilitating blameless post-mortems.

• Ability to steer the technical direction of intricate, cross-team initiatives.

• Established history of mentoring junior and mid-level engineers.

• Excellent communication skills and a strong ability to collaborate across Product, UX, Architecture, Security, and Engineering teams.

🏝️ Benefits

• No travel required.

• Comfortable indoor work environment.

• Frequent opportunities for movement during work.