{"id":4068132,"url":"https://alion.io/job/precisely-remote-senior-site-reliability-engineer","title":"[Remote] Senior Site Reliability Engineer","company":{"id":8626,"name":"Precisely","domain":"precisely.com","url":"https://alion.io/company/precisely","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"PT","utc_offset_min":-8,"utc_offset_max":-8},"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Crowdstrike","optional":false},{"name":"Datadog","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"GitOps","optional":false},{"name":"IAM","optional":false},{"name":"ITIL","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qualys Cloud Platform","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TCP/IP","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-11T09:10:49Z","employer_posted_date":null,"last_verified_at":"2026-11-11T09:10:49Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Note: The job is a remote job and is open to candidates in USA. Precisely is a global data integrity company focused on data quality, data enrichment, and location intelligence. The Senior Site Reliability Engineer will ensure the reliability, performance, and scalability of infrastructure platforms across on-premises, private cloud, and AWS environments by building automation, observability tooling, and reliability standards. The role also leads complex incidents and readiness reviews, mentors engineers, and partners with engineering teams on operational excellence.\n\nResponsibilities\nDefine and maintain reliability standards across CCX, RCX, and HMS, including SLOs, SLIs, and error budgets\nDefine standards for actionable alerting, meaningful logging, and diagnostic tracing; partner with engineering teams to ensure those standards are met\nServe as a platform expert and lead complex reliability engineering work across on-premises, private cloud, and AWS environments\nBuild and maintain infrastructure-as-code, deployment automation, monitoring, alerting, and observability tooling using Terraform, Ansible, Datadog, and scripting languages\nPartner with engineering teams to embed reliability, operability, scalability, backup, recovery, and failure-mode considerations into service design and delivery\nLead Operational Readiness Reviews and validate production and disaster recovery readiness for qualifying changes\nContribute to release triage, deployment coordination, maintenance windows, and change and security reviews\nLead response to complex P1/P2 incidents, serve as incident commander when required, and communicate status clearly to technical and non-technical stakeholders\nAuthor root cause analyses and post-incident reports, identify recurring patterns, and implement preventive automation to reduce manual toil and improve MTTR\nMaintain operational runbooks, reliability backlogs, and team knowledge resources covering monitoring gaps, recurring incidents, and operational risks\nUse Precisely-provided AI tools for automation, incident analysis, troubleshooting, runbook creation, solution testing, and architecture documentation\nEnsure infrastructure configurations meet security, compliance, vulnerability-remediation, and data-protection requirements\nMentor Associate SREs and SREs, coach engineering teams on production diagnostics and operational practices, and contribute to cross-team design reviews\nLead project-based work, coordinate on-call coverage, and model strong operational discipline and follow-through\nParticipate in a rotating on-call schedule covering after-hours, weekends, and holidays, including critical production changes and escalations within defined SLA windows\n\nSkills\nBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience\n5+ years of systems or infrastructure engineering experience in an enterprise production environment\nHigh-level, developing subject-matter-expert competency in one or more complex infrastructure domains (e.g., cloud platform engineering, IaC automation, observability, or on-premises virtualization)\nAdvanced proficiency with Linux (RHEL/Oracle Linux) across multiple environments (on-premises and cloud, not just multi-site)\nProficient with Terraform for infrastructure-as-code; experienced with Ansible role development beyond basic hands-on use\nExperience deploying and managing workloads in AWS at an intermediate level: EC2, ECS, S3, VPC, IAM, CloudWatch, Auto Scaling\nProficiency with at least one scripting language (Python, Bash) for automation development\nDemonstrated experience designing monitoring system architecture and alerting strategy\nSolid understanding of TCP/IP networking, DNS, load balancing, and distributed systems\nExperience designing and managing CI/CD pipelines and deployment automation standards\nStrong analytical skills; demonstrated experience authoring root cause analyses for complex incidents and identifying systemic, preventive fixes from recurring incident patterns\nAbility to define SLOs and lead Operational Readiness Reviews (ORRs); comfortable partnering with engineering teams on production readiness\nDemonstrated ability to work cross-functionally with engineering teams on reliability standards and observability requirements\nExperience participating in change advisory processes and contributing to capacity and reliability planning\nActive, 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\nApply AI tools for complex automation, incident analysis, and runbook authoring\nMentor other engineers on AI-assisted engineering practices\nMaintain fluency with Precisely-approved AI coding assistants as a baseline expectation\nDatadog preferred\nExperience with containerization and orchestration (Docker, ECS, Kubernetes)\nFamiliarity with GitOps workflows and source control best practices (Git, GitLab)\nKnowledge of enterprise virtualization platforms in a hybrid cloud context\nUnderstanding of change management and ITIL operational practices\nExperience with enterprise security tooling (Qualys, CrowdStrike, Rapid7)\nAWS Solutions Architect, SysOps Administrator, or DevOps Engineer certification\nWireshark and protocol analysis experience\nPrior experience mentoring engineers or leading on-call rotations for a team\n\nBenefits\n100% remote within the U.S., with applicants required to reside in the Mountain or Pacific Time Zones\nPrecisely-provided AI tools, including GitHub Copilot and Claude, for complex automation, incident analysis, runbook authoring, solution testing, and architecture documentation\n\nCompany Overview\nPrecisely is a leader in data integrity, specializes in Agentic-Ready Data, data integration, quality, enrichment, & location intelligence. It was founded in 1968, and is headquartered in Burlington, Massachusetts, USA, with a workforce of 1001-5000 employees. Its website is https://www.precisely.com.\n\nCompany H1B Sponsorship\nPrecisely has a track record of offering H1B sponsorships, with 1 in 2025, 2 in 2024, 6 in 2023. 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