Principal AWS Cloud Engineer

Salary: $115,400 - 192,300 per year Requirements:

• We are looking for 10+ years of engineering or IT experience, including 5+ years in AWS cloud engineering, automation, platform engineering, or cloud architecture.
• We need strong hands-on experience with core AWS services such as EC2, S3, VPC, IAM, Lambda, RDS/Aurora, EKS, CloudWatch, and Route 53.
• We value experience using AI-assisted engineering tools such as GitHub Copilot, Claude, or Cursor in development, code review, and platform work, along with the ability to help other engineers adopt them.
• We require experience designing and implementing Infrastructure as Code with Terraform, AWS CloudFormation, AWS CDK, or similar tools.
• We need strong scripting or programming ability in Python, Bash, Go, or comparable languages to automate cloud operations and integrations.
• We look for knowledge of CI/CD, DevOps, and GitOps practices using tools such as Jenkins, GitHub Actions, Argo CD, Azure DevOps, or similar platforms.
• We require experience with containers and Kubernetes-based delivery patterns, including Docker, EKS, Helm, service networking, and autoscaling concepts.
• We expect a solid understanding of AWS networking, including VPC design, subnets, routing, security groups, load balancing, DNS, and hybrid connectivity.
• We need knowledge of cloud security and compliance practices, including least-privilege IAM, encryption, secrets management, vulnerability remediation, and policy guardrails.
• We look for experience with observability and SRE practices such as monitoring, logging, alerting, incident response, runbooks, and operational readiness reviews.
• We need experience supporting cloud data services and storage patterns such as RDS/Aurora, DynamoDB, S3, caching, backup, and lifecycle management.
• We value strong communication, collaboration, problem-solving, and mentoring skills, with the ability to influence technical decisions across teams.
• We prefer experience with platform engineering internal developer portals or self-service cloud development environments that help teams design, provision, deploy, and operate infrastructure through governed workflows.
• Preferred qualifications include an AWS Associate or Professional certification, Certified Kubernetes Administrator certification, or a comparable cloud/platform certification.
• Preferred experience also includes building reusable IaC modules, golden paths, templates, or self-service provisioning patterns for engineering teams.
• Preferred experience includes AWS multi-account, landing zone, or account governance patterns using AWS Organizations, Control Tower, IAM Identity Center, or related guardrail capabilities.
• Preferred experience includes serverless and event-driven AWS architectures using Lambda, Step Functions, API Gateway, EventBridge, SQS, SNS, or Kinesis.
• Preferred experience includes observability platforms and tooling such as CloudWatch, OpenTelemetry, Datadog, Splunk, or similar monitoring and logging solutions.
• Preferred familiarity includes 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 such as Bedrock or SageMaker, especially for infrastructure and operational patterns that support AI workloads at scale, is preferred.

• We design, build, and maintain secure, highly available AWS environments optimized for reliability, performance, scalability, and cost efficiency.
• We implement reusable AWS infrastructure patterns across compute, networking, storage, identity, containers, serverless, and database services.
• We develop and maintain Infrastructure as Code modules, templates, and pipelines that support consistent provisioning and deployment practices.
• We create and maintain internal enablement resources such as playbooks, templates, and workshops that accelerate adoption of AI-assisted engineering across the organization.
• We build and support Kubernetes and container-based workloads on AWS, including EKS deployment patterns, Helm-based releases, ingress, autoscaling, and observability integrations.
• We champion AI-assisted engineering practices across the team by identifying high-value use cases, curating tooling, and developing enablement materials that raise the engineering baseline.
• We partner with application, security, architecture, and operations teams to modernize workloads and improve cloud-native delivery practices.
• We implement security controls and operational guardrails, including least-privilege IAM, encryption, secrets management, network segmentation, and compliance-aligned practices.
• We improve cloud operations through monitoring, logging, alerting, incident response, runbooks, automated remediation, and ongoing reliability enhancements.
• We review cloud designs and changes against AWS Well-Architected principles, internal standards, and production readiness expectations.
• We troubleshoot complex cloud, platform, networking, deployment, and performance issues across AWS environments.
• We mentor engineers on AWS, Kubernetes, automation, security, and platform engineering best practices while encouraging continuous learning.
• We communicate technical recommendations clearly to engineering partners, product stakeholders, security teams, and leadership.

• AI
• API
• AWS
• Lambda
• Azure
• Bash
• CI/CD
• Cloud
• CloudWatch
• Copilot
• Cursor
• Datadog
• DevOps
• Docker
• EC2
• GitHub
• GitOps
• Helm
• IAM
• Support
• Jenkins
• Kubernetes
• Load Balancing
• Machine Learning
• Network
• OpenTelemetry
• Python
• Security
• Serverless
• Splunk
• Terraform

More:

hackajob is partnering with LexisNexis to connect with exceptional professionals for this role. Our preferred location is Raleigh, NC, and we are also open to hiring remotely within the United States, provided the selected individual works on a U.S. Eastern Time schedule. LexisNexis Legal & Professional serves customers in more than 150 countries with 11,800 employees globally and is part of RELX. We lead in applying AI and advanced technologies to the legal market, improving productivity and transforming the business and practice of law through ethical, powerful generative AI solutions. We promote a healthy work/life balance with flexible hours and supportive well-being initiatives, including shared parental leave, study assistance, and sabbaticals. We also offer comprehensive benefits such as medical, dental, and vision coverage, a 401(k) with match, an employee share purchase plan, wellness resources, disability and life insurance, family benefits, spending accounts, and paid time to support employee resource groups and charitable volunteering. The role includes a U.S. national base pay range of $115,400 to $192,300, with possible geographic differentials, and is eligible for an annual incentive bonus.

last updated 36 week of 2026