Senior Site Reliability Engineer

🔥 50 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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👻 Ghost score 12%

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Precisely

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏢 Enterprise

☁️ SaaS

🔐 Security

💰 Private Equity Round on 2022-04

Enterprise • SaaS • Security

Precisely is a comprehensive data integrity and data intelligence company serving enterprises worldwide. It provides a range of products focused on achieving data accuracy, consistency, and context, such as the Data Integrity Suite, location intelligence solutions, and security and event management tools. The company's solutions include data integration, data management, spatial analytics, and process automation, supporting platforms like AWS, Microsoft Azure, IBM systems, SAP, and ServiceNow. Precisely helps organizations enhance their customer engagement and decision-making processes by transforming data into strategic assets, promoting high availability, disaster recovery, and compliance with security regulations.

📋 Description

• 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

• 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

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

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