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.