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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AWS Cloud Engineer-2 - **Company:** LexisNexis - **Location:** Raleigh, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Backup Devices, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Engineering, Code Review, Computer Programming, Computer Networks, Continuous Integration, Cursor (Graphical User Interface Elements), DevOps, Domain Name System (DNS), Amazon DynamoDB, Github, Identity and Access Management, Subnetting, Python (Programming Language), Key Management, Machine Learning, Routing, Network Segmentation, Octopus Deploy, Role-Based Access Control, Software Tools, Site Reliability Engineering Practices, Azure Machine Learning, Runbook, Amazon Simple Notification Service (SNS), Software Vulnerability Management, Datadog, AWS Cdk, Data Logging, Scripting, Load Balancing, GitHub Copilot, Caching, Amazon Virtual Private Cloud (VPC), Cloudformation, Servicebus, Amazon Relational Database Service, AI Platforms, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Integration Frameworks, Route53, Functional Programming, Cloud Optimization, Cloudwatch, Api Gateway, Amazon Simple Queue Service (SQS), Splunk, Serverless Computing, Docker, Jenkins, Golang - **Published:** June 9, 2026 - **Apply:** https://relx.wd3.myworkdayjobs.com/LexisNexisLegal/job/Raleigh-NC/Principal-AWS-Cloud-Engineer-2_R105794-1 ## About the Role * 10+ years of engineering or IT experience, with 5+ years focused on AWS cloud engineering, automation, platform engineering, or cloud architecture. * Strong hands-on experience with core AWS services, including EC2, S3, VPC, IAM, Lambda, RDS/Aurora, EKS, CloudWatch, and Route 53. * Experience leveraging AI-assisted engineering tools (e.g., GitHub Copilot, Claude, Cursor) in day-to-day development, code review, and platform work - and a demonstrated ability to enable and upskill other engineers in their adoption. * Experience designing and implementing Infrastructure as Code using Terraform, AWS CloudFormation, AWS CDK, or similar tooling. * Strong scripting or programming skills using Python, Bash, Go, or similar languages to automate cloud operations and integration workflows. * Knowledge of CI/CD, DevOps, and GitOps practices using tools such as Jenkins, GitHub Actions, Argo CD, Azure DevOps, or comparable platforms. * Experience with containers and Kubernetes-based deployment patterns, including Docker, EKS, Helm, service networking, and autoscaling concepts. * Solid understanding of AWS networking concepts, including VPC design, subnets, routing, security groups, load balancing, DNS, and hybrid connectivity patterns. * Knowledge of cloud security and compliance practices, including IAM least privilege, encryption, secrets management, vulnerability remediation, and policy guardrails. * Experience with observability and SRE practices, including monitoring, logging, alerting, incident response, runbooks, and operational readiness reviews. * Experience supporting cloud data services and storage patterns such as RDS/Aurora, DynamoDB, S3, caching, backup, and lifecycle management. * Strong communication, collaboration, problem-solving, and mentoring skills, with the ability to influence technical decisions across teams. * Experience with platform engineering Internal Developer Portal (IDE) or self-service cloud development environments that help teams design, provision, deploy, and operate cloud infrastructure through governed workflows., * AWS Associate or Professional-level certification, Certified Kubernetes Administrator, or comparable cloud/platform certification. * Experience building reusable Infrastructure as Code modules, golden paths, templates, or self-service provisioning patterns for engineering teams. * Experience with AWS multi-account, landing zone, or account governance patterns using services such as AWS Organizations, Control Tower, IAM Identity Center, or related guardrail capabilities. * Experience with serverless and event-driven AWS architectures using services such as Lambda, Step Functions, API Gateway, EventBridge, SQS, SNS, or Kinesis. * Experience with observability platforms and operational tooling such as CloudWatch, OpenTelemetry, Datadog, Splunk, or comparable monitoring and logging solutions. * Familiarity with cloud cost optimization, capacity planning, tagging strategies, and FinOps practices. * Experience supporting data, analytics, AI, or machine learning workloads on AWS is a plus. * Experience with AWS AI/ML services including Bedrock, SageMaker, or related managed AI services - particularly in designing the infrastructure and operational patterns that support AI workload deployment at scale. ## Description As a Consulting Principal AWS Cloud Engineer, you will design, build, and guide secure, scalable AWS cloud platforms and cloud-native solutions. You will partner with engineering, security, architecture, and product teams to implement infrastructure automation, Kubernetes and serverless patterns, observability, and resilient operating practices. This role combines hands-on cloud engineering with technical leadership, mentoring, and practical architectural guidance that supports business agility, reliability, and cost-effective innovation., * Design, build, and maintain secure, highly available AWS environments optimized for reliability, performance, scalability, and cost efficiency. * Implement reusable AWS infrastructure patterns across compute, networking, storage, identity, containers, serverless, and database services. * Develop and maintain Infrastructure as Code modules, templates, and pipelines that support consistent provisioning and deployment practices. * Develop and maintain internal enablement resources - playbooks, templates, workshops that accelerate team adoption of AI-assisted engineering across the engineering organization. * Build and support Kubernetes and container-based workloads on AWS, including EKS deployment patterns, Helm-based releases, ingress, autoscaling, and observability integrations. * Champion the adoption of AI-assisted engineering practices across the team, identifying high-value use cases, curating tooling, and building enablement resources that raise the engineering floor. * Partner with application, security, architecture, and operations teams to modernize workloads and improve cloud-native delivery practices. * Implement security controls and operational guardrails, including least-privilege IAM, encryption, secrets management, network segmentation, and compliance-aligned practices. * Improve cloud operations through monitoring, logging, alerting, incident response, runbooks, automated remediation, and continuous reliability improvements. * Review cloud designs and changes against AWS Well-Architected principles, internal standards, and production readiness expectations. * Troubleshoot complex cloud, platform, networking, deployment, and performance issues across AWS environments. * Mentor engineers on AWS, Kubernetes, automation, security, and platform engineering best practices while promoting continuous learning. * Communicate technical recommendations clearly to engineering partners, product stakeholders, security teams, and leadership. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Got AI ideas but no money? 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