Job Description
Job Description : As a Senior Cloud FinOps Engineer for Pearson, you will join Pearson’s Cloud FinOps team, working as part of a global Centre of Excellence focused on cloud cost transparency and optimisation across a multi-cloud estate. You will be responsible for collecting and analyzing data to provide Cloud financial insights critical to our success as a business.
Work Location: Bangalore, India (Hybrid),
Working Shift: USA (6:30 PM IST to 3:30AM IST)
Required Responsibilities include, but not limited to:
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- Produce reports for multi-cloud platforms that can be shared with and actioned by Management and Senior Leaders.
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- Work effectively with cross-functional teams globally, assimilating requirements, driving results in the form of data insights and building strategic partnerships.
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- Support the FinOps team with setting goals/KPIs, retrieving data and modeling
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- Partner with our Cloud Governance team to map data process flows, allowing FinOps to gather a single source of data.
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- Analyze and forecast cloud hosting costs.
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- Provide cost optimization recommendations.
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- Create and maintain month-end and quarter-end reports.
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- Use Agile methodology for planning and execution.
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- Use tools and technology to make data driven decisions.
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- Collecting requirements for targeted automation projects; exploring potential solutions based on fit, up-skilling need, team skillsets, cost, and current and long-term strategies
Required Skills
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- Python Data Analytics Skills
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- PowerBI Development
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- Cloud platform experience (Azure, AWS or GCP)
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- Cloud billing and cost management tools
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- FinOps commitment plan strategies such as enterprise-wide discount programs and commitment plans (Reserved Instances, Savings Plans, Spot, Sustained Use/Committed Use Discounts)
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- Agentic AI Experience
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- Advanced Excel
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- Financial principles and business analytics.
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- Cross-functional and global team collaboration
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- Self-starter who can also work independently and with a team to deliver superior customer service
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- Understanding of applications development environment, database, data management and infrastructure capabilities and constraints.
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- Ability to analyze and produce meaningful insights from large datasets
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- Strong analytical background with an aptitude for understanding technology
Nice to have skills
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- Experience with 3rd party cloud cost optimization tools like Cloudability
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- Understanding of database and big data management capabilities and constraints like RDBMS, NoSQL, Datalake, etc.
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- Experience managing or developing automation with object-oriented programming languages like Java or Python and understanding of appropriate use
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- Experience with the AWS Cloud platform and leveraging appropriate AWS services (e.g. S3, Lambda) as part of development of automated solutions.
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- Experience leveraging REST API for extracting and/or posting data
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- Understanding of building and deploying Agentic solutions
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- Azure, GCP or AWS Certifications
Qualifications
Education (or equivalent work experience)
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- Undergraduate or master’s degree in computer science, management information systems, data analytics or similar
+7 years of experience in IT (Business Analytics, Project Management or Technology Finance)
Growth Opportunities exist for cross-training on AWS, Azure, and GCP platforms, and support for FinOps Foundation certification.