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Sr. Site Reliability Engineer II***EST & CST

Job in Horsham, Montgomery County, Pennsylvania, 19044, USA
Listing for: RELX Group
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Systems Engineer, Cloud Computing: Infrastructure & Operations, IT Support
Job Description & How to Apply Below
Position: Sr. Site Reliability Engineer II***EST & CST Preferred
About Our Team For over 50 years, Lexis Nexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination.  We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules.

Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness.

About the Role Senior Site Reliability Engineer IIWe're looking for a Senior Site Reliability Engineer II to serve as a go-to technical resource for our Life Sciences SRE team, part of a globally distributed SRE organization. This is a developed professional role for an experienced SRE who uses knowledge of internal and external issues to improve services and processes, owns complex reliability and toil-reduction projects, and acts as an escalation point during major incidents.

You'll help drive day-to-day operations for the Life Sciences SRE team, working within priorities set by the SRE Manager, and partner closely with the Senior Software Architect for Life Sciences to modernize processes, tooling, and development strategy. You'll also work across the broader Reed Tech organization with SREs from other business units to converge on common tools, standards, and ways of working.

As part of our broader technology strategy, the team is actively investing in AI-driven development and operations — candidates with experience or strong interest in applying AI tooling to engineering workflows are especially encouraged to apply.
***** Conditions of Employment You must be a U.S. citizen to apply for this position.

You must successfully pass a background investigation and achieve Public Trust security clearance.

Preference for candidates located near the Horsham, PA office for a hybrid onsite schedule.

Requirements Help drive day-to-day operations for the Life Sciences SRE team, supporting priorities set by the SRE Manager Partner with SREs and contractors across the Life Sciences SRE team to deliver reliability and toil-reduction initiatives

Partner closely with the Senior Software Architect for Life Sciences to modernize processes, tooling, and development strategy

Collaborate with SREs across the broader Reed Tech organization to converge on common tools, standards, and practices

Influence the setting of service level objectives (SLOs) across Life Sciences production systems

Participate in resolving major incidents as an escalation point and guide restoration efforts

Troubleshoot and resolve complex systems and application issues across development and production environments, partnering with development teams as needed

Improve the SRE framework and contribute to shared SRE knowledge documentation

Create disaster recovery plans

Mentor and prepare junior SREs for on-call readiness

Explore and champion AI-assisted development and operational tooling as part of the team's broader AI strategy

Cloud Platform:
Microsoft Azure Compute: VMs/VMSS, App Service, Azure Functions, with growing use of Azure Kubernetes Service (AKS)
CI/CD:
Azure Dev Ops Pipelines, with source control transitioning to Git Hub (Git Hub Actions under evaluation)
Observability:
Azure Monitor and Log Analytics (primary), Datadog (supplemental)
Infrastructure as Code:
Terraform Experience using AI-assisted coding tools (e.g., Claude, Git Hub Copilot, or Codex) in day-to-day development or scripting work Interest or hands-on experience applying AI/ML to observability, automation, or incident response (e.g., anomaly detection, automated triage, AI-assisted RCA drafting)
Comfortable experimenting with and evaluating emerging AI tooling as part of continuous improvement

Responsibilities Observability Strong  understanding of full-stack observability, incident analysis, and performance optimization. Able to implement reusable dashboards, observability standards, SLOs, and error budgets.

Incident Management Experienced in on-call readiness, mentoring, major incident response, blameless post-mortems, and reducing alert fatigue through root-cause analysis.

Design for Reliability Advanced knowledge of high-availability systems, resiliency patterns, deployment strategies, and recovery practices. Provides guidance on reliability improvements and SRE…
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