Site Reliability Engineering Lead
AI in this role
Are you passionate about building reliable, scalable platforms and helping engineering teams thrive?
Do you enjoy leading high-performing teams while driving automation, resilience, and operational excellence across modern cloud environments?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/
About Our Team
You will be joining the Core SRE Team in Business Services, a team that oversees all the applications and infrastructure in the biggest business unit in LexisNexis Risk Solutions. We build cloud environments, migrate on prem applications to the cloud, work with self-hosted and 3rd party solutions. The successful candidate is a self-starter who assesses the situation, collaboratively develops a solution, and takes the initiative to improve performance, cost, and reliability at each opportunity.
About the Role
This is a professional management level role. Individuals are required to provide line management to a small to medium sized team of engineers, including authority over performance management, pay, and recruitment. They will ensure that tasks and projects are prioritized appropriately and provide support to team members when tasks are blocked. They will support engineers in their personal development and ensure they are working within the SRE framework. They will lead the post-mortem reviews and the timely production of RCAs. They address issues with impact beyond their own team based on knowledge of related disciplines.
Responsibilities
- Manage, mentor, and grow a team of SREs; conduct 1:1s, performance reviews, and career development planning
- Own hiring, onboarding, and team capacity/resourcing decisions
- Set team goals, prioritize backlog, and drive planning
- Foster a blameless post-incident culture and cross-team collaboration with Dev, Security, and Product
- Lead reliability initiatives across infrastructure and services
- Drive incident response activities and continuous service improvement
- Champion automation and operational excellence across the platform
- Support the development of scalable, secure, and resilient cloud-native environments
Requirements
- Expert knowledge of Kubernetes, including cluster architecture, upgrades, autoscaling, security hardening, and troubleshooting at scale
- Expert experience with Terraform, including modular IaC design, state management, multi-environment provisioning, and policy-as-code
- Deep knowledge of Azure Cloud, including compute, networking, identity (AAD), storage, and cost optimization
- Experience designing and scaling CI/CD pipelines using GitHub Actions, release strategies, and rollback automation
- Experience with observability platforms including Prometheus, Grafana, OpenTelemetry, and SLO/SLA/error-budget management
- Strong automation skills, focused on eliminating toil through self-healing systems and infrastructure automation
- Advanced proficiency in Python, Bash, and/or PowerShell for tooling and automation
- Deep understanding of networking concepts including TCP/IP, DNS, load balancing, VPNs, and cloud-native networking
- Experience in SRE, DevOps, or Infrastructure roles, including experience leading engineering teams
- Proven track record leading incident response and driving reliability improvements


U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.






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How we rate this
Site Reliability Engineering Lead at RELX rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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