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Quantiphi

FinOps Engineer

Quantiphi, Dallas, TX, United States


About Us:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:

  • Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013
  • Headquartered in Boston, with 4000+ data science professionals across 11 global offices
  • Winner of 3X NVIDIA AI Partner of the year award
  • Winner of the 13X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner
  • Winner of 3X AWS AI/ML Partner of the Year award
  • Preferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and more
  • Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms
  • Winner of Best in Business Award in Established Business category by INC., 2022
  • Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare (2022) and Financial Services(2023) by Frost & Sullivan
  • Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
  • Winner of AI Excellence Award 2022 and 2023 including 'Generative AI product' category for Baioniq, Quantiphi's generative AI platform

Experience Level: 8+ Years of experience

Responsibilities:

  • Drive cloud optimization and empower app teams to realize business value.
  • Discover cost-saving and optimization opportunities and actively collaborate with the app teams to support execution.
  • Implement strategies like rightsizing, auto-scaling, storage optimization, cost anomalies etc.
  • Manage cloud costs effectively and provide stakeholders with the information to make value-driven decisions.
  • Ensure that cost management practices are well-understood and implemented.
  • Use Cloudability to create and provide continuous cost transparency to app owners.
  • Encourage cross-functional collaboration to implement cost-effective architectural patterns, review resource usage patterns, and iterate on optimization strategies.
  • Collaborate with finance, technology, and business teams to mature FinOps governance processes including embedding FinOps functions into existing governance and architectural review processes.
  • Automate cloud cost management processes using scripting and other methodologies.

Required Qualifications:

  • Minimum 2-3 years of experience in cost management in a GCP environment.
  • Solid knowledge of AI services (GCP and Azure)
  • In-depth knowledge of cloud services, architecture and cost mechanics (compute, containers, databases, serverless, storage, licensing, amortizations, etc.)
  • Effective communicator, both orally and in writing, with an executive presence
  • Demonstrate ability to ask well-crafted questions and present ideas in a clear and compelling manner.
  • Demonstrate strong attention to detail, problem-solving skills, strategic thinking, and strong business acumen.
  • Demonstrate ability to work in an agile work environment with qualities such as collaborative mindset, adaptability to change, and a proactive problem-solving approach.
  • Experience with on-prem or cloud data and AI/ML technologies and solution.
  • Passion for Cloud, FinOps and maximizing Cloud value for end users.
  • Certified FinOps Practitioner or Certified FinOps Engineer.

What is in it for you:

  • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
  • Be a leader of an energetic team of highly dynamic and talented individuals
  • Exposure to working with fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud