Senior Cloud Observability Engineer

PRIMARY RESPONSIBILITIES Observability Platform Engineering - Engineer and operate the enterprise observability stack (Datadog or comparable), including metrics, logs, traces, APM, RUM, synthetic monitoring, and network performance monitoring. - Build, tune, and maintain dashboards, monitors, SLOs/SLIs, and alerting policies that produce actionable signal and minimize noise. - Instrument services, infrastructure, and containerized workloads using agents, OpenTelemetry, and language-specific APM tracers (Java, .NET, Python, Node.js, Go) with consistent span tagging, W3C TraceContext propagation, and unified service tagging. - Develop and maintain integrations between observability platforms, ITSM (ServiceNow), CI/CD pipelines, and on-call/paging workflows. - Define and enforce a unified tagging standard across metrics, logs, and traces; manage tag cardinality and governance to keep telemetry queryable, attributable, and cost-controlled. Cloud and Container Monitoring Engineering - Design and deliver monitoring coverage for Microsoft Azure and AWS workloads, including PaaS, serverless, networking, identity, and managed databases. - Engineer managed database observability across AWS RDS/Aurora, Azure SQL/PostgreSQL/MySQL, and NoSQL/cache services (DynamoDB, Cosmos DB, Redis), including query-level performance analytics, lock/deadlock/wait analysis, and session monitoring. - Engineer container-platform observability for OpenShift/Kubernetes, covering cluster health, control plane, pods, ingress, and service mesh. - Build standardized, reusable monitoring modules deployable via infrastructure-as-code (Terraform, Bicep, ARM). Performance Engineering and Problem Solving - Lead data-driven investigation and resolution of complex performance, latency, saturation, and reliability issues. - Use APM distributed traces, continuous code profiling, database query analytics, and RUM-to-backend trace correlation to isolate bottlenecks. - Partner with engineering teams to implement remediation, tuning, and architectural improvements based on telemetry evidence. - Define and implement trace-based SLOs and deployment tracking to identify performance regressions. - Provide senior technical leadership during major incidents, delivering impact analysis and root-cause analysis. Capacity, Reliability, and Continuous Improvement - Analyze operational telemetry to identify capacity risks and efficiency opportunities. - Build and maintain capacity and performance dashboards for technical and leadership stakeholders. - Define capacity thresholds and alert baselines for scaling and resource reallocation. - Drive continuous improvement of observability coverage, alert quality, and operational maturity. REQUIRED QUALIFICATIONS - Citizenship/Work Authorization: Must meet contract requirements. - Clearance: Ability to obtain and maintain SEC Public Trust. - Experience: Minimum 8 years in IT infrastructure or platform engineering, with 5+ years in observability, performance engineering, or SRE. - Demonstrated experience engineering/operating an enterprise observability platform (Datadog preferred). - Proven experience building APM and distributed tracing coverage for production multi-tier applications. - Hands-on experience monitoring Kubernetes/OpenShift clusters and containerized workloads.