Principal AWS Cloud Engineer-2

LexisNexis
Raleigh, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior

Job location

Raleigh, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Backup Devices
Bash
Cloud Computing
Cloud Computing Security
Cloud Engineering
Code Review
Computer Programming
Computer Networks
Continuous Integration
Cursor (Graphical User Interface Elements)
DevOps
DNS
Amazon DynamoDB
Github
Identity and Access Management
Subnetting
Python
Key Management
Machine Learning
Routing
Network Segmentation
Octopus Deploy
Role-Based Access Control
Software Tools
Site Reliability Engineering Practices
Azure
Runbook
Amazon Web Services (AWS)
Software Vulnerability Management
Datadog
Amazon Web Services (AWS)
Data Logging
Scripting (Bash/Python/Go/Ruby)
Load Balancing
GitHub Copilot
Caching
Amazon Web Services (AWS)
Cloudformation
Servicebus
Amazon Web Services (AWS)
AI Platforms
Git Flow
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Integration Frameworks
Route53
Functional Programming
Cloud Optimization
Cloudwatch
Api Gateway
Amazon Web Services (AWS)
Splunk
Serverless Computing
Docker
Jenkins
Go

Job 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.

Requirements

  • 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.

Benefits & conditions

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • 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
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

#AIFluency

About the company

 LexisNexis ist ein führender Anbieter intelligenter Rechtsinformation in den Bereichen Steuern, Recht und Wirtschaft. Wir bieten und entwickeln Lösungen und Services, welche die Arbeit unserer Kund:innen schneller, einfacher und produktiver gestalten. 

Als Teil des Business Systems & Technology Teams von LexisNexis Österreich stellen Sie den reibungslosen Ablauf der Geschäftsprozesse durch unsere Business Systeme sicher. Gleichzeitig tragen Sie dazu bei, dass wir unsere Systeme laufend an die sich ändernden Geschäftsprozesse anpassen und weiterentwickeln. 

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