16 Aug
|
Weekday AI
|
Pune
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 robust 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
📌 FinOps Engineer (Pune)
🏢 Weekday AI
📍 Pune