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Senior AWS Cloud Engineer

$118.3k - $219.8k
Full-time

LexisNexis

Salary: $118,300 - 219,800 per year Requirements:

  • We require 12+ years of IT experience, including at least 7+ years focused on AWS cloud engineering, architecture, and automation.
  • We expect deep AWS expertise across EC2, EKS, Lambda, API Gateway, RDS, VPC, CloudFormation, IAM, Transit Gateway, and Route 53.
  • We need advanced Kubernetes architecture experience, including EKS, Helm, DaemonSets, StatefulSets, Karpenter, external-dns, and aws-cni.
  • We look for strong Infrastructure as Code capability with Terraform, AWS CDK, and CloudFormation.
  • We require proficiency with DevOps and automation tooling such as Jenkins, GitHub Actions, ArgoCD, and Azure DevOps.
  • We need mastery of AWS networking, including VPC design, Transit Gateway, Direct Connect, PrivateLink, and Route 53 latency-based routing.
  • We expect deep knowledge of security and compliance frameworks, including IAM, AWS KMS, AWS Secrets Manager, WAF, and AWS Shield.
  • We require experience building high-scale, production-grade automation solutions using Python, Bash, or Go.
  • AWS Certified Solutions Architect - Professional is highly preferred.
  • AWS Certified Security - Specialty or Certified Kubernetes Administrator (CKA) is preferred.
  • AWS Certified DevOps Engineer - Professional is a plus.
  • We look for proven ability to architect and improve large-scale AWS environments.
  • We need strong mentoring ability to guide and upskill engineers in best practices.
  • We expect excellent communication skills, including the ability to present to executive stakeholders and influence cloud adoption strategies.
  • We need the ability to work independently while collaborating effectively across engineering, security, and operations teams.
  • We value a strong commitment to continuous learning and cloud innovation.
Responsibilities:
  • We architect highly available, fault-tolerant, and scalable AWS cloud environments with a focus on security, cost, and performance.
  • We define enterprise AWS architectural patterns, frameworks, and best practices to support standardization and operational excellence.
  • We lead the AWS multi-account strategy, including AWS Control Tower, Organizations, and IAM governance.
  • We design hybrid-cloud and multi-cloud solutions that integrate on-premises and SaaS platforms with AWS.
  • We design and optimize Kubernetes-based microservices architectures, including EKS, Helm, and Istio.
  • We lead Infrastructure as Code implementation using Terraform, AWS CloudFormation, and AWS CDK.
  • We automate cloud provisioning, configuration management, and infrastructure scaling.
  • We improve self-healing designs by implementing automated failover, auto-scaling policies, and event-driven automation.
  • We review and further develop multi-region failover and high-availability strategies using AWS services.
  • We establish zero-trust security practices, embedding encryption, least-privilege IAM, and AWS security automation.
  • We implement and manage AWS Security Hub, GuardDuty, AWS WAF, AWS KMS, and IAM boundary policies.
  • We drive compliance and risk management efforts to meet SOC 2, HIPAA, PCI-DSS, and GDPR requirements.
  • We architect secure Kubernetes workloads using Pod Security Policies and AWS IAM roles for service accounts.
  • We optimize AWS serverless solutions using Lambda, Step Functions, API Gateway, and EventBridge.
  • We improve Kubernetes networking, ingress control, and observability with AWS ALB, Nginx, and service mesh tools.
  • We architect event-driven systems for real-time applications using AWS Kinesis, SQS, SNS, and DynamoDB Streams.
  • We design and implement high-performance cloud storage and database architectures using AWS Aurora, Redshift, DynamoDB, and ElastiCache.
  • We establish enterprise cloud monitoring strategies using AWS CloudWatch, Datadog, Splunk, and Coralogix.
  • We help drive SRE practices, improving incident response, automated remediation, and operational excellence.
  • We develop real-time logging and event correlation to support predictive analytics and anomaly detection in AWS environments.
  • We act as a senior technical authority, mentoring Principal and Senior Cloud Engineers in AWS best practices.
  • We lead internal AWS technical reviews, architecture discussions, and AWS Well-Architected Framework assessments.
  • We engage in industry events, open-source contributions, and technical blogging to strengthen our cloud engineering leadership.
Technologies:
  • AI
  • API
  • AWS
  • Lambda
  • Redshift
  • Architect
  • ArgoCD
  • Azure
  • Bash
  • Cloud
  • CloudWatch
  • Datadog
  • DevOps
  • EC2
  • GitHub
  • Helm
  • IAM
  • Istio
  • Support
  • Jenkins
  • Karpenter
  • Kubernetes
  • Nginx
  • Python
  • Security
  • Serverless
  • Splunk
  • Terraform
  • WAF
  • microservices

More:

We are LexisNexis Legal & Professional, part of RELX, serving customers in more than 150 countries with a global team of 11,800 employees. We lead in applying AI and advanced technologies to the legal market, helping improve productivity and transform the business and practice of law through ethical, powerful generative AI solutions. Raleigh, NC is the preferred location for this role, and we are also open to remote hires across the United States with the expectation of working on a U.S. Eastern Time schedule. We support flexible hours and promote work/life balance through well-being initiatives, shared parental leave, study assistance, sabbaticals, and a range of benefits including medical, dental, and vision coverage, a 401(k) match, an employee share purchase plan, wellness resources, disability and life insurance, family benefits, spending accounts, and paid volunteer time. We offer an annual incentive bonus and a U.S. national base pay range of $118,300 to $219,800, with geographic differentials applicable in some locations.

last updated 36 week of 2026

Vacancy posted 3 days ago
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