RELX Logo

RELX

Site Reliability Engineering Lead

Posted 12 Days Ago
Be an Early Applicant
In-Office or Remote
4 Locations
118K-220K Annually
Expert/Leader
In-Office or Remote
4 Locations
118K-220K Annually
Expert/Leader
Leads a small to medium-sized SRE team, overseeing hiring, development, performance management, capacity planning, and reliability initiatives. Drives incident response, postmortems, root-cause analysis, automation, service improvement, and operational excellence. Designs and supports scalable, secure, resilient cloud-native platforms using Kubernetes, Terraform, Azure, CI/CD, observability, and infrastructure automation.
The summary above was generated by AI

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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

Similar Jobs

26 Days Ago
Remote
United States
250K-280K Annually
Expert/Leader
250K-280K Annually
Expert/Leader
Fintech
Lead a hands-on site reliability engineering team while writing production code and building automation, observability, incident-response tooling, and safe deployment practices. Own service reliability standards, alerting, dashboards, runbooks, rollback safety, incident command, remediation, and sustainable on-call coverage. Partner with engineering teams to improve reliability across high-availability financial services supporting millions of customers.
Top Skills: GoPython
One Month Ago
Remote
United States
150K-195K Annually
Senior level
150K-195K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Database
As a Site Reliability Engineer, you will design, implement, and maintain scalable infrastructure, ensure system reliability, automate processes, and collaborate with engineering teams.
Top Skills: DockerElk StackGoGrafanaJavaKubernetesNode.jsPrometheusPulumiPythonRubyTerraform
One Month Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
127K-249K Annually
Senior level
127K-249K Annually
Senior level
Big Data • Cloud • Software • Database
As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.
Top Skills: AWSAzureDnsGCPGoHTTPLinuxPythonRubyTls

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account