Companies Weekday AI FinOps Engineer

About the role

Weekday AI · Onsite

This role is for one of the Weekday's clients

Salary range: Rs 1000000 - Rs 1500000 (ie INR 10-15 LPA)

Experience: 3+ yrs

Location: Pune

Job Type: full-time

We are seeking a highly motivated FinOps Engineer with a strong DevOps foundation and a passion for cloud cost optimization. This role is ideal for someone who takes ownership of cloud financial efficiency, proactively identifies cost-saving opportunities, and drives optimization initiatives across infrastructure, platforms, and services.

As a FinOps Engineer, you will work closely with Engineering, SRE, Product, and Finance teams to improve cloud spending visibility, optimize resource utilization, and establish cost-conscious engineering practices. You will play a critical role in ensuring that cloud investments align with business objectives while maintaining platform performance, scalability, and reliability.

Requirements

Key Responsibilities

  • Continuously analyze and optimize cloud infrastructure costs across AWS, Azure, and GCP environments.
  • Identify underutilized resources, cost leaks, and inefficiencies across compute, storage, networking, databases, Kubernetes clusters, and SaaS platforms.
  • Develop and implement cloud cost optimization strategies, including rightsizing, storage optimization, autoscaling improvements, and workload scheduling.
  • Design and maintain cost visibility dashboards, reporting frameworks, and chargeback/showback models for business stakeholders.
  • Lead regular cloud cost reviews and provide actionable recommendations to engineering and leadership teams.
  • Optimize Kubernetes infrastructure through resource tuning, node optimization, autoscaling configurations, and cost-management tools.
  • Implement automated monitoring, alerts, and anomaly detection systems to proactively identify unexpected spending patterns.
  • Integrate cost governance controls into CI/CD pipelines, Infrastructure-as-Code templates, and deployment processes.
  • Collaborate with Finance teams on budgeting, forecasting, cloud spend analysis, and unit economics reporting.
  • Build automation solutions using scripting languages to streamline reporting and cost management activities.
  • Drive adoption of FinOps best practices across engineering teams and promote a culture of cloud cost accountability.
  • Evaluate and implement FinOps platforms and cloud-native cost management tools to improve operational efficiency.
  • Document optimization initiatives, savings opportunities, and governance processes to support long-term cost management objectives.

What Makes You a Great Fit

  • 3+ years of experience in FinOps, DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or related cloud infrastructure roles.
  • Strong hands-on experience with AWS and cloud cost optimization methodologies.
  • Solid understanding of cloud pricing models, including On-Demand, Reserved Instances, Savings Plans, Spot Instances, and committed-use discounts.
  • Experience working with Infrastructure-as-Code tools such as Terraform, CloudFormation, or similar technologies.
  • Strong knowledge of containerization and Kubernetes platforms, including cost optimization best practices.
  • Proficiency in scripting and automation using Python, Bash, or Go.
  • Experience working with CI/CD tools and modern DevOps workflows.
  • Strong analytical and problem-solving skills with the ability to interpret cloud billing and usage data effectively.
  • Knowledge of SQL and cloud cost reporting mechanisms for financial analysis and forecasting.
  • Familiarity with cloud cost management platforms and FinOps tools is highly desirable.
  • Exposure to multi-cloud environments, including AWS, GCP, and Azure, is a plus.
  • Excellent communication and stakeholder management skills with the ability to collaborate across technical and business teams.
  • Self-driven mindset with a proactive approach to identifying inefficiencies and driving measurable cost savings.
  • Passion for operational excellence, cloud governance, and continuous optimization.
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