Senior Site Reliability Engineer

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

📋 Description

• Establish and uphold reliability standards across CCX, RCX, and HMS, including SLOs, SLIs, and error budgets.

• Set benchmarks for actionable alerting, effective logging, and diagnostic tracing.

• Oversee intricate reliability engineering tasks across on-premises, private cloud, and AWS environments.

• Develop and sustain infrastructure-as-code, deployment automation, monitoring, alerting, and observability tools utilizing Terraform, Ansible, Datadog, and various scripting languages.

• Collaborate with engineering teams on reliability, operability, scalability, backup, recovery, and failure-mode considerations.

• Facilitate Operational Readiness Reviews and confirm production and disaster recovery preparedness.

• Assist in release triage, deployment coordination, maintenance windows, and change and security evaluations.

• Direct responses to intricate P1/P2 incidents and act as incident commander when necessary.

• Write root cause analyses and post-incident reports, implementing preventive automation to minimize manual toil and enhance MTTR.

• Maintain operational runbooks, reliability backlogs, and team knowledge resources.

• Utilize Precisely-provided AI tools for automation, incident analysis, troubleshooting, runbook creation, solution testing, and architecture documentation.

• Ensure that infrastructure configurations comply with security, compliance, vulnerability-remediation, and data-protection requirements.

• Mentor Associate SREs and SREs while coaching engineering teams on production diagnostics and operational practices.

• Lead project-based initiatives and coordinate on-call coverage.

• Engage in a rotating on-call schedule covering after-hours, weekends, and holidays.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience; equivalent work experience is acceptable in lieu of the educational requirement.

• Over 5 years of systems or infrastructure engineering experience in an enterprise production setting.

• Advanced, developing subject-matter-expert proficiency in one or more complex infrastructure areas, such as cloud platform engineering, IaC automation, observability, or on-premises virtualization.

• High-level expertise with Linux (RHEL/Oracle Linux) in both on-premises and cloud environments.

• Competence with Terraform for infrastructure-as-code implementation.

• Experience in Ansible role development beyond basic usage.

• Intermediate-level AWS proficiency with EC2, ECS, S3, VPC, IAM, CloudWatch, and Auto Scaling.

• Proficiency in Python or Bash for automation purposes.

• Experience in designing monitoring system architecture and alerting strategies; Datadog experience preferred.

• Strong understanding of TCP/IP networking, DNS, load balancing, and distributed systems.

• Experience in designing and managing CI/CD pipelines and deployment automation standards.

• Exceptional analytical skills and experience in authoring root cause analyses for complex incidents and identifying systemic preventive solutions.

• Capability to define SLOs and lead Operational Readiness Reviews (ORRs).

• Ability to collaborate cross-functionally with engineering teams on reliability standards and observability needs.

• Experience in participating in change advisory processes and capacity and reliability planning.

• Active and proficient use of Precisely-provided AI tools such as GitHub Copilot or Claude for complex automation, solution testing, incident analysis, runbook authorship, and architecture documentation.

• Ability to mentor fellow engineers on AI-assisted engineering practices.

• Must reside in the Mountain or Pacific Time Zones.

• Preferred skills include Docker, Kubernetes, GitOps, Git, GitLab, enterprise virtualization, ITIL, Qualys, CrowdStrike, Rapid7, AWS certifications, Wireshark, and mentoring/on-call leadership.

🏝️ Benefits

• 100% remote work within the U.S.

• No travel required (approximately 0%).