Apply on Employer Site

RELX · 1 month ago

Manager Site Reliability Engineering *** Hybrid in Raleigh, NC

Raleigh, NC

Full-time

Hybrid

Senior Level

$133K/yr - $248K/yr

5+ years exp

LexisNexis Intellectual Property Solutions is a leading provider of legal, regulatory, and business information. They are seeking a Platform Engineering & Site Reliability Engineering Manager to lead a distributed team of SRE and DevOps engineers, focusing on modernizing system operations and driving reliability and automation at scale.

AnalyticsBusiness Information SystemsConsultingInformation ServicesInformation TechnologyInsuranceRisk Management

No H1B

U.S. Citizen Only

Responsibilities

Hire, mentor, and lead a high-performing, globally distributed team of SRE and DevOps engineers

Foster a culture of reliability, blameless postmortems, and continuous improvement

Build and sustain a global SRE community of practice that aligns reliability standards across business units

Drive cross-functional initiatives and influence enterprise-wide engineering practices

Define and implement SRE best practices to improve reliability, scalability, and performance

Establish and monitor key performance indicators (uptime, MTTR, SLO/SLI compliance)

Serve as an escalation point for major incidents, ensuring swift resolution and actionable post-incident reviews

Partner with Product, Cloud Infrastructure, Security, and Architecture teams to ensure alignment with enterprise objectives

Collaborate with Cloud Engineering and Architecture to build robust monitoring, alerting, and observability systems

Lead modernization initiatives, including cloud migrations, IaC automation (Terraform, Kubernetes), and CI/CD pipeline improvements

Drive cloud cost efficiency and governance (FinOps)

Ensure compliance with ISO 27001, NIST 800-53, and similar security frameworks

Define and implement SLOs, SLIs, and SLAs for AI/ML pipelines, APIs, and model training systems

Partner with AI/ML and Cloud teams to ensure the reliability, observability, and performance of AI workloads

Lead reliability engineering for MLOps — orchestration, IaC, monitoring, and automated scaling

Champion security, compliance, and fault tolerance across emerging AI platforms

Provide clear direction, feedback, and professional growth opportunities for team members

Encourage innovation, continuous learning, and adoption of new reliability and automation techniques

Lead with a global mindset, balancing local autonomy with enterprise alignment

Qualification

AzureAWSKubernetesTerraformCI/CD toolingAI/ML infrastructureIncident managementService reliabilityInfrastructure as CodeMonitoring & ObservabilityAutomation & ScriptingEmpathetic leaderCommunicatorContinuous improvementCollaboration

Required

Bachelor's degree in computer science, Engineering, or related field (advanced degree preferred)

Experience as a Sr. SRE, platform engineering, or DevOps, including several years in a global leadership role

Proven experience leading distributed technical teams and aligning cross-functional stakeholders

Strong expertise in Azure and/or AWS, Kubernetes (EKS/AKS), Terraform, and CI/CD tooling

Background in observability, automation, incident management, and service reliability

Experience with AI/ML infrastructure (Databricks, MLflow, MLOps)

Cloud & Infrastructure: Azure, AWS (EKS, EC2, S3, RDS, Lambda, Azure VMs, Functions)

Infrastructure as Code: Terraform (modules, workspaces, policies), Ansible, ARM/BICEP/HCL, Spacelift

Containers & Orchestration: Docker, Kubernetes, Helm, ArgoCD

Monitoring & Observability: Datadog, Splunk, Coralogix, CloudWatch, Azure Monitor

Automation & Scripting: Python, Bash, PowerShell, TypeScript

Security & Networking: Azure Key Vault, HashiCorp Vault, cloud security best practices

Programming Familiarity: Java, .NET/C#, SQL, React environments

Empathetic and motivational leader who develops technical talent and fosters collaboration

Excellent communicator capable of engaging both technical and business stakeholders

Deep commitment to transparency, reliability culture, and continuous improvement

Preferred

Familiarity with FinOps, multi-cloud, or large-scale inference environments

Understanding of ISO 27001, NIST 800-53, and NCSC-aligned frameworks

Knowledge of data governance, privacy, or AI model compliance

Benefits

Comprehensive, multi-carrier health plan benefits

Disability insurance

Dependent care and commuter spending accounts

Life and accident insurance

Retirement benefits (salary investment plan/employer stock purchase plan)

Modern family benefits, including adoption and surrogacy

Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice