Dynatrace Consultant

Denver, CO, US • Posted 13 hours ago • Updated 5 hours ago
Contract Corp To Corp
75% Travel Required
On-site
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Job Details

Skills

  • Devops
  • microservices
  • Kubernetes
  • Team Management
  • communication skills
  • automation
  • Restful APIs
  • APPDYNAMICS
  • Docker
  • datadog
  • Dynatrace
  • architecture
  • Grafana
  • servicenow
  • Data Analytics
  • Governance
  • Workflows
  • performance engineering
  • Mentoring
  • Incident Management
  • Artificial Intelligence
  • Performance Testing
  • Root Cause Analysis
  • IT Service Management
  • Consulting
  • Quality Auditing
  • Anomaly Detection
  • Information Technology
  • Leadership
  • Safety Principles
  • Cloud Platform System
  • Python (Programming Language)
  • Self Motivation
  • Budgeting Skills
  • Continuous Integration
  • Operating Models
  • Health Care
  • Business Performance Management
  • System Availability
  • Diagnostic Skills
  • Technical Debt
  • Systems Development Life Cycle
  • Application Performance Management
  • Log Analysis
  • Automatically Programmed Tool
  • Monitoring of Systems
  • Security Domain
  • Enterprise Software Applications
  • Log Management and Intelligence
  • Noise Reduction
  • Predictive Data Analysis
  • Service Level Management
  • Design Languages
  • New Relic (SaaS)

Summary

Job Role: Dynatrace Consultant

Experience: - Minimum 8+ Years

Location: - Denver, CO (Hybrid)

We are seeking an experienced Dynatrace Consultant with min 8+ years of overall IT experience, including strong expertise in application performance monitoring (APM), observability, and Dynatrace platform implementation. The ideal candidate will be responsible for designing, implementing, and optimizing monitoring solutions to ensure high availability and performance of enterprise applications.

Roles and Responsibilities

Guide effective use of agentic IDEs for complex, multi-module or cross-service changes, Establish review practices and quality checks for AI-generated code

Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development

Design system architectures that support AI-augmented and agentic development workflows

Define guardrails, standards, and governance for the use of autonomous coding agents

Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt.

Consulting & Leadership Expectations. Ability to act as a strategic advisor to clients and stakeholders

Proactively identify gaps in monitoring and automation opportunities, Strong communication and presentation skills-able to lead workshops and executive reviews

Capable of driving adoption and governance for observability practices, Ability to handle critical production issues and war room scenarios

AI & Automation Focus Leverage AI-driven insights (Davis AI) for: o Intelligent Ing and anomaly detection o Root cause identification o Predictive performance insights

Identify opportunities to automate repetitive monitoring and operational tasks

Integrate Dynatrace with automation frameworks and incident management systems

Drive adoption of AIOps practices across teams

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Experience in performance engineering / monitoring / observability

Deep hands-on expertise in Dynatrace platform: o APM, Real User Monitoring (RUM), Synthetic Monitoring o Infrastructure monitoring (hosts, containers, Kubernetes) o Log analytics and distributed tracing

Strong understanding of Dynatrace AI capabilities

Experience in cloud environments (preferably Google Cloud Platform)

Expertise in: o Monitoring strategy & observability architecture o tuning, noise reduction, and incident correlation o Root cause analysis and performance diagnostics

Experience integrating Dynatrace with CI/CD pipelines and DevOps tools Strong scripting/automation skills (Python, REST APIs, etc.)

Nice to have

Experience with other observability tools (AppDynamics, Datadog, New Relic)

Knowledge of Kubernetes, Docker, microservices architecture Experience with ITSM tools (ServiceNow, etc.)

Familiarity with SRE principles (SLIs, SLOs, error budgets) Exposure to performance testing tools and practices

Experience in enterprise or healthcare domain is a plus L4 L7 (Tech Lead Architect Principal) Proven experience architecting and delivering systems using agentic IDEs Ability to: Define architectural intent that agents can follow

Break features into agent executable tasks

Govern AI autonomy (guardrails, permissions, reviews) Integrate agentic workflows into CI/CD pipelines Experience supervising AI agents across: Multi service systems Legacy modernization

Large codebases / monorepos Strong understanding of:

Security implications of autonomous code execution Compliance, auditability, and traceability

AI assisted SDLC operating models Cor

VeeRteq Solutions is an Equal Opportunity Employer
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91122967
  • Position Id: 2026-4406
  • Posted 13 hours ago

Company Info

About ADDSOURCE

AddSource is a premier staffing and workforce solutions partner headquartered  in  Delaware,  USA,  with  operations  in  Alberta,  Canada  under  the  brand  name AddSource.

We  specialize  in  connecting  top-tier  talent  with  leading organizations across diverse industry sectors.

With  a  strong  commitment  to  excellence,  our  mission  is  to deliver innovative, customized staffing solutions that empower clients  to  achieve  their  goals  while  helping  candidates advance their careers.

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