Senior SRE (Site Reliability Engineer)

Retail IndustryDallas, TX
Hybrid

About The Position

We are seeking a high-caliber Senior SRE Engineer to join a premier client in Washington, DC, to spearhead the evolution of their enterprise observability platform. This is a high-impact role designed for a technical leader with nearly a decade of specialization in Dynatrace SaaS, tasked with architecting and automating large-scale monitoring solutions across complex AWS and Azure environments. You will bridge the gap between infrastructure and applications, leveraging Davis AI and Grail to drive proactive reliability, mentoring cross-functional DevOps teams, and establishing a gold standard for full-stack visibility in a mission-critical, multi-cloud landscape.

Requirements

  • 9+ years of hands-on experience specifically focused on Dynatrace implementation and management at an enterprise scale.
  • 5+ years in SRE, DevOps, or Cloud Infrastructure roles, with deep knowledge of Linux systems and networking.
  • Advanced experience navigating and securing AWS and Azure environments.
  • Strong proficiency in Python or similar scripting languages for building self-service tooling and automation.
  • Proven ability to integrate observability stacks with ITSM and communication tools like ServiceNow, PagerDuty, and Microsoft Teams.
  • Experience working within a SAFe Agile delivery environment and a solid understanding of the ITIL framework.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • Ability to work on-site in the Washington, DC area as required and provide off-hours support for critical production incidents.

Responsibilities

  • Lead the design, governance, and rollout of Dynatrace observability for distributed microservices, serverless workloads, and multi-region cloud environments.
  • Configure deep code-level visibility (PurePath), Smartscape topology mapping, and advanced APM instrumentation to ensure comprehensive system transparency.
  • Harness Davis AI for causal analysis and root cause identification; develop custom dashboards, alerting profiles, and auto-remediation workflows to minimize MTTR.
  • Implement Real User Monitoring (RUM) and Synthetic Monitoring to analyze user journeys and establish performance KPIs.
  • Drive "Observability as Code" by building CI/CD pipelines (GitHub Actions, Jenkins) and automating infrastructure via Terraform, CloudFormation, or AWS CDK.
  • Manage high-volume log ingest pipelines and processing rules using Dynatrace Grail and Log Management features.
  • Define and monitor SLIs, SLOs, and error budgets while participating in on-call rotations and developing detailed RCA documentation.
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