AWS Administrator

AWS & Site Reliability Engineering

• 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.