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Principal AWS Cloud Engineer-2

Cloud EngineerCloud EngineerFull TimeRemoteLeadTeam 1,001-5,000

Location

United States

Posted

1 day ago

Salary

$115.4K - $192.3K / year

Seniority

Lead

Job Description

Principal AWS Cloud Engineer-2

Reed Technology

Role 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. Qualifications - 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. - 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. Requirements - 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. - 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. - 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 - 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.

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Xideral logo

Cloud Architect, AWS

Xideral

Code is borderless! Click below to learn more about our international services

Cloud Engineer2 days ago
Full TimeRemoteTeam 201-500Since 2004H1B No Sponsor

• Design and implement AWS-native cloud architectures following best practices • Build and maintain Infrastructure as Code (IaC) solutions using Terraform, Terragrunt, or OpenTofu • Develop and optimize cloud automation workflows for provisioning, de-provisioning, and auditing cloud resources • Create API-driven orchestration and automation solutions using Python or Node.js • Integrate cloud services with ServiceNow and enterprise platforms • Design secure and scalable AWS networking solutions, including VPCs, Transit Gateway, and Route53 • Analyze operational data using SQL to identify automation opportunities and reduce manual effort • Implement observability and monitoring solutions using Datadog • Ensure compliance, governance, and audit requirements are met, including SOX-related controls

Mexico