AWS Observability & Datadog Engineer
Position:AWS Cloud Observability & Datadog Engineer Location:Remote Duration:Long term Job Description: AWS Cloud Observability & Datadog Department: IT / Cloud Infrastructure & Operations Reports to: Director / Senior Manager – Cloud Engineering Position Summary We seek a hands-on implement, optimize, and govern enterprise observability across AWS infrastructure, applications, microservices, containers, and hybrid environments. The role owns Datadog and AWS-native monitoring strategy, improves reliability and incident response, automates telemetry deployments, and partners with SRE, DevOps, security, and application teams.
Key Responsibilities
Observability Architecture & Engineering Design enterprise monitoring for metrics, logs, traces, events, and service health. Standardize dashboards, alerts, service-level indicators (SLIs), service-level objectives (SLOs), and instrumentation across AWS accounts and regions. Provide end-to-end visibility for distributed systems, microservices, serverless, and containers. Datadog Platform Ownership Lead Datadog Infrastructure Monitoring, APM, Log Management, RUM, Synthetic Monitoring, service maps, and distributed tracing. Build AWS/Kubernetes/database integrations, dashboards, anomaly detection, alert routing, and incident integrations. Govern tagging, RBAC, data ingestion, cardinality, retention, and platform cost; automate with Datadog APIs and Terraform. AWS Cloud Monitoring Implement observability for EC2, EBS, Auto Scaling, ECS, EKS, Lambda, RDS/Aurora, DynamoDB, S3, CloudFront, API Gateway, ELB, VPC, Route 53, SQS, SNS, and EventBridge. Use CloudWatch metrics/logs/alarms, Application Signals, CloudTrail, AWS Config, and X-Ray where appropriate. Architect centralized, multi-account and cross-region AWS monitoring. SRE, Reliability & Incident Management Partner with SRE/DevOps teams to define SLIs, SLOs, error budgets, and actionable alerts. Improve MTTD and MTTR through proactive detection, root cause analysis, post-incident reviews, and noise reduction. Integrate observability with ServiceNow, PagerDuty, and collaboration platforms. Automation, Performance & Leadership Build monitoring-as-code using Terraform/CloudFormation, Python, Bash, AWS CLI, REST APIs, and CI/CD. Optimize telemetry pipelines, sampling, log retention, infrastructure utilization, and observability spend. Lead architecture reviews, engineering standards, mentorship, platform roadmaps, and cross-team delivery. Thanks & regards, Kalyan Kumar Innovative Consulting Solutions, LLC 1901 N. Roselle Rd., Suite 800 Schaumburg, IL 60195 Email id: