Turbonomic Specialist

Location: Pune, MH, in

Company Description

Company Introduction – T-Systems ICT India Pvt. Ltd. T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a certified Great Place To Work®, proudly recognized for its strong people-first culture and commitment to employee excellence. As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates out of Pune and Bangalore, with a dynamic team of over 4,200 professionals delivering high-value IT services to group customers worldwide. T-Systems India plays a key role in this global vision by delivering integrated, end-to-end IT solutions and sector-specific software to drive transformation across industries, including automotive, manufacturing, logistics, transportation, healthcare, and the public sector. For over 25 years, T-Systems International GmbH has been at the forefront of digital innovation, driving progress and fostering digital optimism. As a leading European IT services provider and a proud part of Deutsche Telekom, T-Systems delivers transformative digitalization projects backed by deep expertise in consulting, cloud, AI, cybersecurity, and connectivity. With a global workforce of 26,000 employees across 26 countries, we set industry benchmarks in efficiency, sovereignty, security, and reliability—empowering organizations to unlock their full digital potential. With annual revenues exceeding EUR 4.0 billion (2024), T-Systems stands as one of Europe’s foremost digital transformation partners, committed to shaping the future of enterprise technology.

Job Description

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.

Additional Information

Please Note: Fraudulent job postings/job scams are increasingly common. Beware of misleading advertisements and fraudulent communication issuing 'offer letters' on behalf of T-Systems in exchange for a fee. Please look for an authentic T-Systems email id - XYZ@t-systems.com.

Stay vigilant. Protect yourself from recruitment fraud!

To know more please visit : Fraud Alert