Principal AWS Cloud Engineer-2

Reed TechnologyRaleigh, NC
$115,400 - $192,300Remote

About The Position

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.

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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • Comprehensive, multi-carrier program for medical, dental and vision benefits
  • 401(k) with match and an Employee Share Purchase Plan
  • 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
  • Shared parental leave
  • Study assistance
  • Sabbaticals
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