AWS Cloud Observability & Datadog Engineer(Remote)

Position:AWS Cloud Observability & Datadog Engineer

Location:Remote

Duration:Long term

Job Description:

AWS Cloud Observability & Datadog

Department: IT / Cloud Infrastructure & Operations

Experience: 10+ years IT engineering; 5+ years AWS/cloud observability

Reports to: Director / Senior Manager Cloud Engineering

Position Summary

We seek a hands-on technical leader to architect, 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