Senior Site Reliability Engineer

What you will do

• Define and maintain reliability standards across CCX, RCX, and HMS, including SLOs, SLIs, and error budgets.
• Define standards for actionable alerting, meaningful logging, and diagnostic tracing; partner with engineering teams to ensure those standards are met.
• Serve as a platform expert and lead complex reliability engineering work across on-premises, private cloud, and AWS environments.
• Build and maintain infrastructure-as-code, deployment automation, monitoring, alerting, and observability tooling using Terraform, Ansible, Datadog, and scripting languages.
• Partner with engineering teams to embed reliability, operability, scalability, backup, recovery, and failure-mode considerations into service design and delivery.
• Lead Operational Readiness Reviews and validate production and disaster recovery readiness for qualifying changes.
• Contribute to release triage, deployment coordination, maintenance windows, and change and security reviews.
• Lead response to complex P1/P2 incidents, serve as incident commander when required, and communicate status clearly to technical and non-technical stakeholders.
• Author root cause analyses and post-incident reports, identify recurring patterns, and implement preventive automation to reduce manual toil and improve MTTR.
• Maintain operational runbooks, reliability backlogs, and team knowledge resources covering monitoring gaps, recurring incidents, and operational risks.
• Use Precisely-provided AI tools for automation, incident analysis, troubleshooting, runbook creation, solution testing, and architecture documentation.
• Ensure infrastructure configurations meet security, compliance, vulnerability-remediation, and data-protection requirements.
• Mentor Associate SREs and SREs, coach engineering teams on production diagnostics and operational practices, and contribute to cross-team design reviews.
• Lead project-based work, coordinate on-call coverage, and model strong operational discipline and follow-through.
• Participate in a rotating on-call schedule covering after-hours, weekends, and holidays, including critical production changes and escalations within defined SLA windows.

Required

AI Skills/Knowledge

• Active, proficient use of Precisely-provided AI tools (GitHub Copilot, Claude, or equivalent) for complex automation, solution testing, and architecture documentation is a required baseline for this role — not a differentiator — and includes mentoring others on AI-assisted engineering practices.
• Apply AI tools for complex automation, incident analysis, and runbook authoring.
• Mentor other engineers on AI-assisted engineering practices.
• Maintain fluency with Precisely-approved AI coding assistants as a baseline expectation.

Preferred Skills (a plus but not required)

• Experience with containerization and orchestration (Docker, ECS, Kubernetes).
• Familiarity with GitOps workflows and source control best practices (Git, GitLab).
• Knowledge of enterprise virtualization platforms in a hybrid cloud context.
• Understanding of change management and ITIL operational practices.
• Experience with enterprise security tooling (Qualys, CrowdStrike, Rapid7).
• AWS Solutions Architect, SysOps Administrator, or DevOps Engineer certification.
• Wireshark and protocol analysis experience.
• Prior experience mentoring engineers or leading on-call rotations for a team.
• #LI-KM1 #LI-Remote

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