# FinOps Engineer

> Weekday AI · Pune, India · Full-time · Posted 2026-06-25

**Salary:** INR 1,000,000–1,500,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**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.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/3FDE2FB2AF/apply)

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