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1008 Deutsche Bank Jobs

FinOps Cost Optimization Engineer, VP

6-10 years

Pune

FinOps Cost Optimization Engineer, VP

Deutsche Bank

posted 9hr ago

Job Role Insights

Flexible timing

Job Description

Role Description:

Our FinOps function drives financial accountability of cloud consumption at DB, providing distributed teams with insights into their consumption, spend and optimization / control options to ensure cloud usage is managed efficiently.

We are seeking an individual who has a real passion for technology, with a strong technical background in Google Cloud Platform, billing and usage data analysis and cost optimization. You should also have a track record of excellent problem-solving skills.

FinOps Cost Optimization Analyst will be responsible for defining, analyzing and generating optimization recommendations to reduce costs associated with cloud services, infrastructure and technology spend.

What we'll offer you

As part of our flexible scheme, here are just some of the benefits that youll enjoy.

  • Best in class leave policy.
  • Gender neutral parental leaves.
  • 100% reimbursement under childcare assistance benefit (gender neutral).
  • Sponsorship for Industry relevant certifications and education.
  • Employee Assistance Program for you and your family members.
  • Comprehensive Hospitalization Insurance for you and your dependents.
  • Accident and Term life Insurance.
  • Complementary Health screening for 35 yrs. and above.

Your key responsibilities

  • Cost optimization of GCP cloud services, infrastructure and technology spend whilst maintaining operational efficiency.
  • Analysis of GCP billing data, usage data from Asset Inventory and Monitoring utilization data to assess application teams GCP consumption, identify wasteful spend and provide actionable insights to optimize spend.
  • Subject Matter Expert for the design of optimization tactics and creation of Infrastructure as Code implementation guidance and script templates.
  • Estate Manager and Application team engagement to drive optimization implementation
  • Automation of optimization analysis with serverless products on GCP (including but not limited too; Cloudrun, Cloudfunctions and Pub Sub topics) to be able to repeat analysis, data collection, recommendation generation and track benefit implementation to reduce manual workload.
  • Financial analysis to identify trends, patterns, and anomalies in spending and financial performance.

Your skills and experience

  • Infrastructure & Cloud technology industry experience (6+ Years)
  • Proficient in data analysis tools e.g., Excel, SQL (4+ Years)
  • Proficient in Python, CSP CLI, PowerQuery for Excel, Terraform and GitHub workflows. (4+ Years)
  • Proficient in GCP infrastructure and GCP services
  • Ability to analyze complex data sets, identify patterns and draw actionable insights.
  • Ability to create, document and communicate financial analysis and cost optimization recommendations for GCP cloud services.
  • Strong analytical and problem-solving skills.
  • Experience in FinOps, Cost Optimization and reducing Cloud spend.

Employment Type: Full Time, Permanent

Read full job description

Prepare for Optimization Engineer roles with real interview advice

Top Deutsche Bank Optimization Engineer Interview Questions

Q1. In a marathon, the each athlete is assigned a number, you see 5 of them with the following numbers: 2, 10, 40, 50, 200, 250……can you guess t ... read more
Q2. A 10x10x10 cube is made up of 1x1x1 cubes. Its outer surface is painted red and then big cube is dismantled into smaller cubes. How many cub ... read more
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What people at Deutsche Bank are saying

What Deutsche Bank employees are saying about work life

based on 3.5k employees
66%
86%
74%
90%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Deutsche Bank Benefits

Free Transport
Cafeteria
Health Insurance
Work From Home
Job Training
Soft Skill Training +6 more
View more benefits

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Deutsche Bank Pune Office Location

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Pune Office
Business Bay, Wing 1, Jayprakash Nagar, Yerawada Pune Pune
Maharashtra 411006

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