FinOps Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Take ownership of cloud cost reporting across GCP and AWS, delivering weekly, monthly, and ad hoc dashboards for engineering and business stakeholders.

• Implement cost optimization strategies, including rightsizing, committed use discounts (CUDs/RIs), idle resource cleanup, storage lifecycle policies, and reducing network egress.

• Develop and enforce a cloud tagging strategy by defining taxonomy, automating compliance checks, and addressing untagged resources.

• Create showback and chargeback models to ensure teams comprehend and are accountable for their expenditures.

• Facilitate monthly FinOps review meetings by presenting spending trends, highlighting anomalies, explaining variances, and suggesting actions.

• Establish and maintain budget alerts, anomaly detection systems, and forecasting models.

• Collaborate with product and engineering teams to instill cost awareness early in architecture and feature design processes.

• Assist with daily cloud operations on GCP and AWS, including incident response, monitoring hygiene, and infrastructure health assessments.

• Enhance Datadog observability through the creation of dashboards, monitors, and alert tuning, particularly for cost-related signals.

• Engage in on-call rotations and conduct post-incident reviews with a focus on cost implications in root cause analysis (RCA).

• Work alongside platform and SRE teams to improve Kubernetes cluster efficiency, focusing on node utilization, autoscaling, and namespace-level cost attribution.

⛳️ Requirements

• Minimum of 7 years of experience in cloud infrastructure or engineering.

• At least 3 years in a specialized FinOps, cloud cost management, or platform economics position.

• Proficient hands-on experience with GCP cost tooling, including Billing export, Recommender, and CUD analysis.

• Established history of achieving measurable savings in cloud costs.

• Excellent communication skills, capable of translating complex cost anomalies into clear narratives for non-technical stakeholders.

• Experience in developing and maintaining tagging strategies and cost allocation frameworks.

• Comfortable working in a Kubernetes environment, with a solid understanding of node pools and resource limits in relation to costs.

• Preferred: FinOps Foundation certification (FOCP) or equivalent qualifications.

• Familiarity with FinOps platforms such as CloudZero, Apptio Cloudability, or similar tools.

• Background in SRE or CloudOps, with insights into the factors driving cloud expenditures.

• Experience in AWS cost management, including Savings Plans and Cost Anomaly Detection.

🏝️ Benefits

• All your information will be kept confidential according to EEO guidelines.