AWS Administrator

Quadrant IQ Solutions LLC; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Quadrant IQ Solutions LLC is seeking a seasoned DevOps/SRE professional to design, deploy, and maintain scalable AWS infrastructure. You will implement SRE metrics, manage core AWS services, and lead incident response with automation.

You will build comprehensive CI/CD pipelines, use IaC tools like Terraform, CloudFormation, and AWS CDK, and deploy containerized workloads with Docker and Kubernetes (EKS). Expect a cross-functional, fast-paced environment.

Qualifications

• Experience building and operating scalable cloud infrastructure on AWS.
• Strong grounding in SRE practices, reliability, and capacity planning.
• Hands-on with IaC and modern CI/CD pipelines.

Responsibilities

• Design, deploy, and maintain highly available, scalable, and fault-tolerant applications and infrastructure on AWS.
• Implement SRE principles including SLIs, SLOs, SLAs, error budgets, availability, reliability, and capacity planning.
• Manage AWS services including EC2, EKS, ECS, Lambda, S3, RDS, DynamoDB, API Gateway, CloudFront, Route 53, IAM, VPC, CloudWatch, SNS, SQS, and EventBridge.
• Troubleshoot complex production issues involving application, infrastructure, networking, database, and cloud components.
• Participate in incident management, root-cause analysis, problem management, and post-incident reviews.
• Develop automation to reduce manual operational activities and eliminate repetitive tasks.
• Perform capacity planning, performance tuning, disaster recovery, and business continuity activities.
• Build and maintain CI/CD pipelines and implement IaC practices with Terraform, CloudFormation, or AWS CDK.
• Automate infrastructure provisioning, configuration management, deployments, and operational processes.
• Implement containerized workloads using Docker and Kubernetes (EKS) and modern deployment strategies.
• Integrate security, compliance, testing, and quality checks into CI/CD pipelines.

Skills

AWS

SRE principles

SLIs & SLOs & SLAs

Error budgets

Capacity planning

CI/CD

IaC

Terraform

CloudFormation

AWS CDK

Docker

Kubernetes

EKS

CI/CD tooling (Jenkins, GitHub Actions

Datadog

Dynatrace

New Relic

Grafana

Prometheus

OpenTelemetry

AIOps

AI/GenAI for ops

Tools

Terraform

CloudFormation

AWS CDK

Jenkins

GitHub Actions

GitLab CI/CD

AWS CodePipeline

Azure DevOps

Docker

Kubernetes

EKS

Job description

• Design, deploy, and maintain highly available, scalable, and fault-tolerant applications and infrastructure on AWS.
• Implement SRE principles including SLIs, SLOs, SLAs, error budgets, availability, reliability, and capacity planning.
• Manage AWS services including EC2, EKS, ECS, Lambda, S3, RDS, DynamoDB, API Gateway, CloudFront, Route 53, IAM, VPC, CloudWatch, SNS, SQS, and EventBridge.
• Troubleshoot complex production issues involving application, infrastructure, networking, database, and cloud components.
• Participate in incident management, root-cause analysis, problem management, and post-incident reviews.
• Develop automation to reduce manual operational activities and eliminate repetitive tasks.
• Perform capacity planning, performance tuning, disaster recovery, and business continuity activities.

DevOps & Infrastructure Automation

• Build and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline, or Azure DevOps.
• Implement Infrastructure as Code using Terraform, CloudFormation, or AWS CDK.
• Automate infrastructure provisioning, configuration management, deployments, and operational processes.
• Implement containerized workloads using Docker and Kubernetes/Amazon EKS.
• Develop automated deployment strategies including blue-green, canary, and rolling deployments.
• Integrate security, compliance, testing, and quality checks into CI/CD pipelines.

AIOps & AI-Driven Operations

• Implement AIOps solutions to improve monitoring, incident detection, event correlation, root-cause analysis, and automated remediation.
• Leverage AI/ML and Generative AI capabilities to analyze logs, metrics, traces, alerts, and operational data.
• Develop intelligent alerting and anomaly-detection mechanisms to identify potential production issues before they impact customers.
• Build AI-assisted incident investigation and troubleshooting workflows.
• Integrate LLM/GenAI capabilities into SRE and DevOps workflows for automated log analysis, incident summarization, knowledge retrieval, and remediation recommendations.
• Develop automated runbooks and self-healing mechanisms using event-driven AWS services and AI-assisted decision making.
• Integrate AIOps platforms and observability tools such as Datadog, Dynatrace, New Relic, Splunk, CloudWatch, Grafana, and Prometheus.
• Develop or integrate AI agents/workflows that can assist with incident response, operational diagnostics, and infrastructure management.
• Monitor AIOps/AI solutions for accuracy, reliability, security, and operational effectiveness.

Observability & Monitoring

• Implement comprehensive metrics, logs, traces, dashboards, and alerting across cloud and application environments.
• Work with Prometheus, Grafana, CloudWatch, OpenTelemetry, Datadog, Dynatrace, Splunk, or similar observability platforms.
• Establish meaningful service-level indicators and operational dashboards.
• Implement distributed tracing and application performance monitoring.
• Tune alerts to reduce false positives and alert fatigue.
• Build proactive monitoring and predictive health checks.