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Senior Cloud Engineer (FinOps)

Fidelity

This job is closed: the employer no longer lists it.

Skills

Required

  • cloud
  • data models
  • reporting frameworks
  • infrastructure
  • automation
  • scripts
  • SQL
  • serverless
  • Terraform
  • Python
  • PowerShell
  • Azure / AWS / GCP
  • Jenkins
  • Kubernetes / EKS environments

Preferred

  • FinOps
  • improve cloud visibility
  • enforce cost-allocation standards
  • identify waste
  • building analytics solutions
  • infrastructure utilization
  • platform usage patterns
  • data pipelines

Job Title - Senior Cloud Engineer - FinOps Description We are seeking a Lead FinOps Developer/Engineer – to builds and automates cloud cost-management capabilities.

About Fidelity

  • Fidelity Investments is one of the world's largest providers of financial services.
  • Headquartered in Boston, US, Fidelity's goal is to make financial expertise broadly accessible and effective in helping people live the lives they want.
  • Privately held for nearly 70 years, Fidelity employs 45,000 associates who are focused on the long-term success of our customers.
  • FMR (Fidelity Management & Research) India is the Global Inhouse Center of Fidelity Investments.
  • Headquartered at Bangalore, where operations commenced in 2003, FMR India has another fully functional unit at Chennai.

Responsibilities

  • Work across engineering and operations to improve cloud visibility, enforce cost-allocation standards, identify waste, and embed cost accountability into development workflows that will help drive data-driven decision making across our enterprise cloud, infrastructure and platform operations.
  • The Purpose of Your Role This role will focus on building analytics solutions that provide visibility into cloud costs, infrastructure utilization, and platform usage patterns.
  • The engineer will develop data pipelines, analytical models, and automated insights that connect cloud billing data, infrastructure telemetry, and business metrics.
  • Working closely with Cloud Platform Engineering, SRE, and Product teams, this role will help the organization better understand how infrastructure usage and engineering decisions impact cloud spend and operational efficiency.
  • This role will play a critical part in helping the organization optimize cloud investments and improve operational efficiency through data-driven decision-making.
  • By delivering actionable insights into cloud costs, infrastructure utilization, and workload performance, you will enable teams to make informed engineering and financial decisions.
  • Your work will strengthen FinOps practices, increase cost transparency, and drive automation that improves visibility, accountability, and overall business value.

Requirements

  • Proven ability to build scalable analytics datasets, data models, and reporting frameworks for cloud, infrastructure, and financial analysis.
  • Advanced proficiency in automation, including development of scripts, APIs, data processing pipelines, and workflow automation solutions.
  • Strong expertise in cloud cost management, FinOps practices, and infrastructure cost optimization across multi-cloud environments.
  • Strong analytical skills with experience examining cloud consumption, billing, usage, and resource inventory data to identify trends, anomalies, and optimization opportunities.
  • Hands-on experience with SQL and large-scale data analysis for cost attribution, utilization tracking, and operational insights.
  • Understanding of cloud services and their cost drivers, including compute, storage, networking, databases, observability, serverless, and managed platforms.
  • Experience developing analytical models that correlate infrastructure utilization, operational metrics, business activity, and unit economics.
  • Knowledge with cloud billing, cost management, and REST APIs to integrate, enrich, and automate cost and usage analysis.
  • Strong knowledge of Infrastructure as Code (IaC) and modern DevOps practices, including Terraform, CloudFormation, CI/CD pipelines, and platform automation.
  • Experience with Kubernetes-based environments, including AKS, EKS, or similar platforms, with a focus on workload efficiency and cost optimization.
  • Ability to design insightful dashboards, visualizations, and reporting using tools such as Power BI, Tableau, Grafana, or similar analytics platforms.
  • Skilled at translating complex technical and financial datasets into actionable recommendations while leveraging modern AI-assisted tools to accelerate analysis, investigation, and decision-making.
  • Skills for This Role Proficiency in SQL for cloud cost and usage analysis.
  • Experience with Python, PowerShell, or similar scripting languages.
  • Strong knowledge of REST APIs and cloud cost management APIs.
  • Hands-on experience with Azure, AWS, or GCP services.
  • Expertise in Terraform, CloudFormation, or other IaC tools.
  • Familiarity with CI/CD platforms such as Jenkins, GitHub Actions, Azure DevOps, GitLab CI.
  • Experience working with Kubernetes, AKS, or EKS environments.
  • Proficiency in Power BI, Tableau, Grafana, or similar BI tools.
  • Understanding of FinOps principles, tagging strategies, and cost allocation models.
  • Strong analytical and problem-solving skills for large-scale data analysis.
  • Ability to communicate insights effectively to technical and business stakeholders.
  • Experience using AI-assisted tools to accelerate analysis and investigation.

How Your Work

Impacts the Organization EI&O domain is the part of Enterprise Technology with the focus on Infrastructure, Cloud Engineering & Operations.

Primary Work Location

Bangalore/Chennai Certifications: Category: Information Technology