Full-Time

Lead Cloud Cost Optimization Manager

Posted on 8/27/2025

TIBCO Software

TIBCO Software

1,001-5,000 employees

Real-time data integration & analytics platform

No salary listed

Bengaluru, Karnataka, India

In Person

Category
Finance & Banking (3)
, ,
Required Skills
Microsoft Azure
Python
SQL
AWS
Data Analysis
Google Cloud Platform
Requirements
  • Bachelor's degree or equivalent experience in Finance, Business or Engineering.
  • 8+ years of experience in a FinOps, Cloud Cost Management, Engineering, Financial Analyst, or similar role.
  • Strong analytical skills with the ability to collect, analyze, and interpret complex financial and cloud usage data.
  • Working knowledge of cloud computing concepts.
  • Excellent communication skills, both written and verbal, with the ability to translate complex financial and technical data into understandable insights for technical and non-technical audiences.
  • Basic understanding of financial principles, budgeting, and forecasting.
  • Strong organizational skills and attention to detail.
  • Ability to work effectively in a cross-functional environment and influence stakeholders.
Responsibilities
  • Monitor and Analyze Cloud Spend: Continuously monitor cloud expenditures across a multicloud environment (e.g., AWS, Azure, GCP), identifying trends, anomalies, and areas for potential savings. Support engineering teams as a FinOps partner by providing clear visibility into cloud cost through analysis of consumption and planned infrastructure activities.
  • Drive Cost Optimization Initiatives: Work closely with engineering teams to identify and implement cost optimization strategies, including rightsizing instances, optimizing storage, and managing reserved instances/savings plans. Track the impact of these initiatives and report on savings achieved. Stay up to date on cloud offerings and technologies with an emphasis on how they can impact cost.
  • Forecasting and Budgeting Support: Collaborate with finance teams to budget, forecast, track and allocate costs, providing data-driven insights to inform financial planning.
  • Summarize Data and Provide Recommendations to Executives: Provide executive summaries and recommendations concerning cloud costs, tooling costs, optimizations, budgets and forecasts.
  • Develop and Maintain Reporting: Create and enhance automated reports and dashboards that provide stakeholders with actionable insights into cost and usage data.
  • Collaborate and Educate: Partner with engineering, finance, and procurement teams to foster a culture of cost awareness and accountability. Educate engineers on best practices for cloud cost management, efficient resource utilization, and prioritization of high-impact saving activities.
  • Cloud Vendor Management: Assist in evaluating cloud vendor billing and pricing models to ensure accuracy and identify potential cost efficiencies. Collaborate with cloud vendors to ensure teams are using resources efficiently and implementing best practices
  • Automate Cost Management Processes: Increase efficiency and automate workflows/tasks where possible.
  • R&D Tooling Cost Management: Analyze spend on our R&D tooling portfolio, identifying opportunities for license optimization, vendor consolidation, and efficient utilization. Work across multiple teams to understand software licensing requirements and collaborate with the procurement team on purchasing required software
Desired Qualifications
  • FinOps-specific certifications or experience.
  • Extensive knowledge of cloud computing concepts and cost models (AWS, Azure, or GCP experience is highly desirable).
  • Experience with cloud cost management or asset management platforms.
  • Proactiveness and resourcefulness in identifying and solving problems related to cost inefficiencies.
  • Familiarity with software licensing and SaaS cost models.
  • Proficient with analysis tools such as Excel & Power BI.
  • Experience querying data using tools such as SQL.
  • A love for data and driving business outcomes.

TIBCO Software provides a platform for real-time data integration and analytics that helps businesses connect, unify, and analyze data to improve decision-making and operational efficiency. Its tools are used by healthcare providers, financial institutions, and large enterprises. The company earns money from software licensing, subscriptions, and professional services, and its platform can be deployed on-premises, in the cloud, or in hybrid environments. It emphasizes high performance, reliability, and scalability for mission-critical applications. Unlike many competitors, TIBCO combines comprehensive data integration with analytics across flexible deployment models, serving large organizations that need real-time data flows. The goal is to help organizations manage their data more effectively to support faster, better decisions and smoother operations.

Company Size

1,001-5,000

Company Stage

Acquired

Total Funding

$4.3B

Headquarters

Palo Alto, California

Founded

1997

Simplify Jobs

Simplify's Take

What believers are saying

  • TIBCO Cloud Integration launches in AWS Marketplace, expanding enterprise reach.
  • Flogo MCP reduces MTTR by 35% for P1 incidents via AI root-cause analysis.
  • Model Context Protocol enhances SRE workflows with structured data logging.

What critics are saying

  • Cloud Software Group lays off 1,000 TIBCO employees in September merger.
  • CSG CEO Tom Krause cuts mid-tier clients, losing to MuleSoft competitors.
  • Databricks Lakehouse captures Spotfire's real-time analytics market share.

What makes TIBCO Software unique

  • TIBCO Flogo 2.26.0 introduces MCP Connector for AI-driven incident response.
  • Smart Incident Response Assistant automates triage with PagerDuty integration.
  • Hyperconverged Analytics in Spotfire enables action triggering from insights.

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Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
TIBCO
Apr 2nd, 2026
How to automate Smart Incident Response with TIBCO Flogo(R) and Model Context Protocol(MCP).

How to automate Smart Incident Response with TIBCO Flogo(R) and Model Context Protocol(MCP). April 2, 2026 TIBCO Flogo(R) automates incident response by combining Model Context Protocol (MCP) tools for interactive data collection, real-time logging, and AI-driven root-cause analysis. Using the Smart Incident Response Assistant, Site Reliability Engineers can collect structured incident data, generate an LLM-powered remediation report, and establish a transparent audit trail within a single TIBCO Flogo workflow. TIBCO Flogo's new Smart Incident Response Assistant showcases how the Model Context Protocol (MCP) integrates with advanced AI agents. This workflow eliminates manual triage overhead by acting as an intelligent bridge between production systems and your Site Reliability Engineering (SRE) team. For a foundational look at these capabilities, see its full guide on TIBCO Flogo(R) Model Context Protocol(MCP) Showcase Sample - Smart Incident Response Assistant. How does the TIBCO Flogo Incident Response architecture work? * Initial Trigger: An engineer prompts the AI with a symptom like "Payment system down". * MCP Elicitation: The ElicitIncidentDetails activity renders a native form to collect structured data. * Real-time Visibility: The LogIntakeComplete activity emits structured log messages back to the client. * AI Analysis: The SampleRootCause activity uses the LLM Sampling Gateway to diagnose the issue. * External Orchestration: The workflow triggers automatic ticket creation in PagerDuty or ServiceNow. Automating Incident Response triage with the TIBCO Flogo MCP Connector. The assistant implements three key capabilities within a single workflow to ensure high "Information Gain" and machine readability: * MCP Elicitation: Interactive intake forms via the ElicitIncidentDetails activity collect affected system and severity data. * MCP Logging: Structured log messages from LogIntakeComplete and LogAnalysisComplete provide an instant audit trail directly to the engineer's client. * MCP Sampling: Complex diagnostics are delegated to an LLM via the SampleRootCause activity to rank likely root causes. Why is ai-driven root-cause analysis critical for SRE teams? Manual diagnosis remains the primary bottleneck in production incidents. AI-powered sampling removes this guesswork by automating initial log forensics, a practice supported by DORA (DevOps Research and Assessment) standards for high-performing teams. Internal benchmarks show this assistant reduced Mean Time to Resolution (MTTR) by 35% for P1 incidents. "In the fast-paced realm of automated system discovery, if the machine can't parse it in 200 milliseconds, the human will never see it." Frequently asked questions. How does TIBCO Flogo automatically create tickets? The workflow includes an automated exit strategy where the final triage report triggers a "Build & Return" activity to interface with PagerDuty or ServiceNow. What is the role of LLM Sampling? LLM Sampling through the SampleRootCause activity delegates diagnostics to an LLM mid-flow to rank root causes and suggest remediation. What are the prerequisites for the Flogo MCP Connector? Flogo MCP connector is available in Flogo 2.26.0 release onwards. You can download it from here. Key takeaways. * Automated Intake: TIBCO Flogo uses MCP Elicitation for structured reports. * Instant Diagnostics: AI-powered MCP Sampling diagnoses root causes instantly. * Zero-Lag Compliance: MCP Logging provides a transparent audit trail. Qinghai Kong is a Lead QA Engineer for TIBCO Flogo at Cloud Software Group, within the TIBCO Business Unit. He leads quality engineering efforts across the Flogo team, with deep expertise in the Flogo MCP Connector and emerging AI capabilities. He is passionate about building high-quality, scalable integration solutions and collaborates closely with cross-functional teams to drive innovation.

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