Job Description: Turbonomic Specialist / Cloud Optimization Analyst
Role Overview
We are seeking a
Turbonomic Specialist / Cloud Optimization Analyst
to lead resource performance optimization across hybrid and multi‑cloud environments. This role focuses on ensuring applications run efficiently while maintaining performance, compliance, and cost objectives using
IBM Turbonomic
. You will work closely with cloud, infrastructure, and application teams to drive automation, visibility, and continuous optimization initiatives.
Key Responsibilities
Turbonomic Implementation & Management
Implement, configure, and manage
IBM Turbonomic
for application resource management and optimization.
Monitor workload performance and resource utilization across on‑premises and cloud environments.
Optimization & Automation
Analyze performance metrics to identify optimization opportunities for compute, storage, and networking.
Automate resource allocation decisions to ensure compliance and cost efficiency.
Develop policies and workflows to drive autonomous optimization across cloud and virtualized platforms.
Cross‑Functional Collaboration
Partner with cloud, DevOps, SRE, infrastructure, and application teams to align optimization strategies with business goals.
Integrate Turbonomic with existing ecosystem tools such as
Apptio, Cloudability
, or other FinOps platforms.
Reporting & Insights
Create dashboards and reports to track performance, utilization, savings, and optimization impact.
Present insights to leadership and stakeholders to support decision-making.
Continuous Improvement
Support ongoing enhancements, including integrations with automation and orchestration tools.
Stay up to date with emerging cloud optimization technologies and best practices.
Must‑Have Skills
Hands‑on experience with
IBM Turbonomic
or similar application resource management/optimization tools.
Strong understanding of cloud platforms:
AWS, Azure, GCP
.
Expertise in virtualization (VMware, Hyper‑V, etc.).
Experience with performance monitoring, capacity planning, and cloud cost optimization.
Strong analytical ability to interpret data and recommend actionable improvements.
Excellent communication and stakeholder management skills.
Nice‑to‑Have Skills
Familiarity with automation/orchestration tools:
Ansible
,
Terraform
, etc.
Experience integrating Turbonomic with
FinOps/TBM tools
(Apptio, Cloudability).
Knowledge of
Kubernetes
, container platforms, and container resource optimization.
Exposure to
SRE
or
DevOps
practices for performance tuning and reliability engineering.
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