Senior Automation Engineer – Dynatrace

🕒 September 23

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 QA Automation Engineer

👻 Ghost score 16%

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Rackspace Technology

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Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.

📋 Description

• Analyze historical tickets and operational data to identify high-volume, repetitive and manual operational toil • Assess automation opportunities based on frequency, complexity, repeatability, risk and business impact • Build an automation opportunity backlog and quantify potential effort/toil reduction • Determine whether use cases are best addressed through rules, scripts, workflow automation, AI-assisted recommendations or agentic automation • Use Dynatrace telemetry, events, problems and service dependencies to identify AIOps-driven investigation and remediation opportunities • Develop automation scripts and workflows using Python, PowerShell, Bash, REST APIs and existing client tools • Build integrations between Dynatrace and client platforms such as ServiceNow, cloud platforms, CI/CD, monitoring and collaboration tools • Design and implement human-gated remediation for production operations • Implement recovery validation covering technical health, service/SLO health and business transaction validation • Develop reusable automation components and runbooks rather than one-off scripts • Support AIOps use cases including event correlation, incident enrichment, probable-cause analysis, recommendation and controlled remediation • Measure automation outcomes including toil reduction, automation coverage, MTTR improvement and recurring-incident reduction • Work closely with SRE/AIOps architects and operations teams to convert opportunities into PDP2 Thin MVP use cases and production-ready automation

🎯 Requirements

• 4+ years in IT Operations, SRE, DevOps, AIOps or Automation Engineering • 3+ years hands-on experience with Dynatrace, including APM, infrastructure monitoring, logs, synthetics, events/problems, dashboards and APIs • Strong experience in operational automation and toil reduction using Python, PowerShell, Bash or similar scripting technologies • Proven experience analyzing Incident/Service Request/Problem ticket data to identify repetitive operational activities and automation opportunities • Experience converting identified opportunities into automation scripts, workflows, runbooks and API-based integrations • Hands-on experience integrating monitoring events with automation/remediation workflows • Experience working with ServiceNow or another ITSM platform • Experience building automation with validation, error handling, logging, rollback and audit controls • Ability to work directly with operations/SME teams to understand troubleshooting and remediation processes • Experience with Dynatrace Workflows / Automation Engineer and Dynatrace APIs • Dynatrace Intelligence / Davis AI experience • ServiceNow Incident/Problem/Change integration and REST APIs • AWS/Azure infrastructure and cloud automation • Kubernetes/EKS and containerized application environments • Terraform, Ansible or similar infrastructure automation • Jenkins, GitHub Actions or Harness • Splunk, CloudWatch or other observability/monitoring platforms • REST APIs, webhooks and event-driven architectures • Slack/Microsoft Teams operational integrations • Experience with AI/GenAI, LLM, RAG or AI-agent based IT operations • Understanding of SLI/SLO, error budgets and SRE practices • Experience developing automation business cases and ROI/toil-reduction calculations

🏖️ Benefits

• Equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic • Accommodation for disabilities or special needs

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