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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 the link below, https://risk.lexisnexis.com
About the Role:
We are hiring a hands-on Senior Site Reliability Engineer (SRE) to actively build, operate, and improve the reliability of our production systems. This is not a purely advisory role you will be directly involved in designing infrastructure, writing Terraform, improving observability, and responding to real production incidents.
If you live near one of our offices, you may work a hybrid schedule. If not, this role is fully remote. We do not restrict applicants based on job site or posting location.
Job Title: Senior Site Reliability Engineer (SRE)
Location: Open (U.S.-based). No job site restrictions.Work Model: Hybrid (if near an office) or Fully Remote
Employment Type: Full-time
Department: Engineering / Infrastructure
What You’ll Do
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Design, build, and operate highly available, scalable systems in AWS
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Write, maintain, and review Terraform to provision and manage infrastructure
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Own and improve monitoring, alerting, and observability using Grafana,Pingdom, and Uptrends
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Participate in a rotating on-call schedule, responding to production incidents and driving issues to resolution
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Lead incident response, root cause analysis, and post-incident reviews with a focus on prevention and automation
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Define and manage SLOs, SLIs, and error budgets
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Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub
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Work directly with application teams to improve reliability, performance, and deployability
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Automate manual operational tasks to reduce toil
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Maintain clear, actionable runbooks and documentation in Confluence
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Track work, incidents, and operational improvements using Jira and Service Now
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Mentor other engineers and help set SRE standards and best practices
Required Qualifications
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5+ years of hands-on experience in SRE, DevOps, or Infrastructure Engineering roles
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Strong production experience in AWS
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Required: Significant hands-on experience with Terraform in real-world environments
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Experience operating monitoring and uptime platforms such as Grafana,Pingdom, and Uptrends
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Strong Linux systems, networking, and troubleshooting skills
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Experience supporting production systems through incident response and on-call rotations
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Proficiency with GitHub and modern Git workflows
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Experience building or maintaining CI/CD pipelines with Azure DevOps
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Familiarity with ITSM and incident workflows using Service Now
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Strong written communication skills with experience documenting systems and processes in Confluence
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Ability to work independently in a remote or hybrid environment
Preferred Qualifications
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Experience defining and operating against SLOs and error budgets
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Infrastructure-as-Code best practices beyond Terraform (modules, testing, CI integration)
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Experience with containers and orchestration (Docker, Kubernetes)
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Experience supporting large-scale, high-availability production systems
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Prior experience mentoring engineers or serving as a technical lead
What We Offer
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Competitive salary and comprehensive benefits
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Flexible work location with hybrid or fully remote options
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Real ownership of production systems and reliability outcomes
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A culture that values automation, learning, and continuous improvement
U.S. National Base Pay Range: $104,900 - $174,700. 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.
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About LexisNexis (RELX)

LexisNexis (RELX)
PublicProvides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.
10,001+
Employees
Alpharetta
Headquarters
Reviews
4.2
47 reviews
Work Life Balance
4.1
Compensation
4.6
Culture
4.4
Career
4.2
Management
3.7
86%
Recommend to a Friend
Pros
Flexible remote work options and good work-life balance
Competitive compensation packages with equity
Opportunities for continuous learning and growth
Cons
Organizational changes and restructuring can be disruptive
Internal politics in some teams
Fast-paced environment with tight deadlines
Salary Ranges
58 data points
Junior/L3
Mid/L4
Junior/L3 · Data Analyst I
2 reports
$72,805
total / year
Base
$63,221
Stock
-
Bonus
-
$72,805
$72,805
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview Process
1
Application Review
2
HR Screen
3
Technical Interview
4
Background Check
5
Offer
Common Questions
Technical Knowledge
Past Experience
Behavioral/STAR
Data Analysis
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