Senior Site Reliability Engineer

Precisely

. Define and maintain reliability standards across CCX, RCX, and HMS, including SLOs, SLIs, and error budgets .

Posted 10/31/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in reliability engineering, infrastructure-as-code, and cloud platform management, with a strong focus on automation, monitoring, and incident response. Proficient in leading operational readiness and mentoring engineering teams on best practices in production diagnostics.

Highest-signal resume keywords

Infrastructure-As-Code Using TerraformAdvanced Linux Proficiency (RHEL/Oracle Linux)AWS Experience (EC2, ECS, S3, VPC, IAM)Monitoring System Architecture Design (Datadog)Root Cause Analysis and Incident Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure-As-CodeLinux AdministrationAWS Cloud ServicesTerraformAnsiblePythonBashMonitoring and AlertingCI/CD Pipeline ManagementNetwork Protocols (TCP/IP, DNS)

Soft Skills

Analytical SkillsMentoringCross-Functional CollaborationLeadershipIncident Command

Tools & Technologies

TerraformAnsibleDatadogPrecisely AI ToolsGitHub CopilotClaudeDockerKubernetesGitGitLab

Certifications & Qualifications

AWS Certifications

Industry Keywords

Reliability EngineeringOperational Readiness ReviewsDisaster RecoveryChange Advisory ProcessesCloud Platform Engineering

Tech Stack

Tools & technologies

AnsibleAWSCloudDistributed SystemsDNSDockerEC2KubernetesLinuxOraclePythonTCP/IPTerraform

About the role

Key responsibilities & impact

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
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 on reliability, operability, scalability, backup, recovery, and failure-mode considerations
Lead Operational Readiness Reviews and validate production and disaster recovery readiness
Contribute to release triage, deployment coordination, maintenance windows, and change and security reviews
Lead response to complex P1/P2 incidents and serve as incident commander when required
Author root cause analyses and post-incident reports and implement preventive automation to reduce manual toil and improve MTTR
Maintain operational runbooks, reliability backlogs, and team knowledge resources
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 and coach engineering teams on production diagnostics and operational practices
Lead project-based work and coordinate on-call coverage
Participate in a rotating on-call schedule covering after-hours, weekends, and holidays

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience; equivalent work experience accepted in place of the education requirement
5+ years of systems or infrastructure engineering experience in an enterprise production environment
High-level, developing subject-matter-expert competency in one or more complex infrastructure domains, such as cloud platform engineering, IaC automation, observability, or on-premises virtualization
Advanced proficiency with Linux (RHEL/Oracle Linux) across on-premises and cloud environments
Proficiency with Terraform for infrastructure-as-code
Experience with Ansible role development beyond basic hands-on use
Intermediate AWS experience with EC2, ECS, S3, VPC, IAM, CloudWatch, and Auto Scaling
Proficiency with Python or Bash for automation development
Experience designing monitoring system architecture and alerting strategy; Datadog preferred
Solid understanding of TCP/IP networking, DNS, load balancing, and distributed systems
Experience designing and managing CI/CD pipelines and deployment automation standards
Strong analytical skills and experience authoring root cause analyses for complex incidents and identifying systemic preventive fixes
Ability to define SLOs and lead Operational Readiness Reviews (ORRs)
Ability to work cross-functionally with engineering teams on reliability standards and observability requirements
Experience participating in change advisory processes and capacity and reliability planning
Active, proficient use of Precisely-provided AI tools such as GitHub Copilot or Claude for complex automation, solution testing, incident analysis, runbook authoring, and architecture documentation
Ability to mentor other 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

Comp & perks

100% remote within the U.S.
No travel required (approximately 0%)