Hiring_ Dynatrace APM

Sigma Allied Services

Bengaluru

On-site

INR 1,200,000 - 1,600,000

Full time

3 days ago
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Job summary

Sigma Allied Services in Bengaluru is seeking an experienced Dynatrace observability engineer to lead strategy, architecture, and onboarding across applications and platforms.

You will design cross-application observability solutions using Dynatrace, DQL, Grail, and OpenTelemetry, and develop reusable dashboards, SLOs, and alerting patterns. Mentoring teams and driving ITSM integrations are key parts of the role.

Qualifications

  • Expertise in Dynatrace APM and platform observability.
  • Design and implement cross-application observability solutions using DQL, Grail, OpenTelemetry.
  • Develop reusable dashboards, SLOs, alerting patterns, and automation templates.
  • Integrate Dynatrace with ServiceNow and other ITSM platforms for incident workflows.
  • Lead production incident investigations, RCA, and performance optimizations.

Responsibilities

  • Lead Dynatrace observability strategy, architecture, and onboarding across apps, platforms, and accounts.
  • Design cross-application solutions using Dynatrace, DQL, Grail, and automation.
  • Develop DQL queries, dashboards, SLOs, and alerting patterns.
  • Own Dynatrace integration with ITSM platforms and automated incident workflows.
  • Mentor engineers and provide guidance to development, SRE, DevOps, and platform teams.

Skills

Dynatrace APM
Observability engineering
DQL/OpenTelemetry
APIs & automation
SRE practices
GenAI awareness

Tools

Terraform
CI/CD
Python
JavaScript/TypeScript
Shell scripting

Job description

Role & responsibilities
  1. 1. Lead Dynatrace observability strategy, architecture, standards, and onboarding patterns across applications, platforms, and accounts.
  2. 2. Design and implement cross-application and platform-level observability solutions using Dynatrace, DQL, Grail, OpenPipeline, OpenTelemetry, APIs, and automation.
  3. 3. Develop reusable DQL queries, dashboards, SLOs, alerting patterns, workflows, integrations, and engineering templates.
  4. 4. Own Dynatrace integration with ServiceNow and other ITSM platforms, including automated incident creation, enrichment, correlation, and remediation workflows.
  5. 5. Lead complex production incident investigations, technical RCA, performance optimization, capacity planning, resilience, and production-stability initiatives.
  6. 6. Establish observability governance covering tagging, access, telemetry quality, cardinality, retention, data management, standards, reference architectures, and documentation. Lead end-to-end implementation planning for Dynatrace onboarding, including environment readiness, deployment approach, automation strategy, validation, rollout sequencing, and handover to operations teams.
  7. 7. Define and govern OneAgent deployment strategy across Windows, Linux, Kubernetes, cloud, on-premises, and hybrid environments, ensuring alignment with customer server-management, automation, CI/CD, and infrastructure lifecycle processes.
  8. 8. Mentor engineers, conduct knowledge-sharing sessions, and provide technical guidance to development, SRE, DevOps, and platform teams.
Professional & Technical Skills
  1. 1. Dynatrace APM / Observability Engineering Dynatrace SaaS and Platform capabilities OneAgent and ActiveGate architecture, deployment, troubleshooting, upgrades, and lifecycle management.
  2. 2. DQL, Grail, OpenPipeline, OpenTelemetry, telemetry pipelines, metrics, logs, traces, events, dashboards, SLOs, alerting, workflows, Davis AI / Dynatrace Intelligence, and problem detection tuning.
  3. 3. Dynatrace REST APIs, automation, Configuration as Code, Terraform, CI/CD integrations, Python, JavaScript/TypeScript, Shell, or similar scripting technologies.
  4. 4. Application performance monitoring across Java, .NET, Node.js, Python, Go, microservices, APIs, containers, Kubernetes/OpenShift, serverless, AWS, Azure, GCP, and hybrid environments.
  5. 5. ServiceNow / ITSM integrations, automated incident workflows, SRE practices, SLIs, SLOs, error budgets, reliability engineering, AIOps, GenAI / Agentic AI awareness, and analytical validation of AI-generated insights.
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