# About the Role

Navina is hiring a FinOps Lead for its Infrastructure group to own techno-financial operations across cloud, infrastructure, AI, data, and third-party engineering services. The role exists to make spend transparent, predictable, optimized, and aligned with business value.

You will work closely with Engineering, DevOps, AI Infrastructure, Product, and Finance. The focus is on building visibility into costs, improving forecast accuracy, defining cost governance practices, and supporting engineering teams in making cost-aware decisions without slowing delivery.

# Key Responsibilities

– Build and own the FinOps practice for cloud, infrastructure, AI, data, and third-party engineering services
– Improve visibility into cloud and infrastructure spending
– Drive cost optimization initiatives and measure their impact
– Strengthen forecasting accuracy and recurring cost review processes
– Define and support cost governance practices
– Help engineering teams evaluate the cost, performance, reliability, and business impact of technical decisions
– Create dashboards, reports, and COGS forecasts for engineering and leadership
– Analyze large datasets to identify cost drivers and produce clear recommendations
– Partner with cross-functional stakeholders to align spend with business needs

# Required Skills

– 4+ years of experience in FinOps, Cloud Cost Management, Infrastructure Operations, DevOps, or a similar role
– 3+ years of experience in software development, preferably backend or data
– Hands-on experience managing and optimizing cloud spend in AWS or other major cloud providers
– Strong understanding of cloud billing, tagging, cost allocation, budgets, alerts, reservations, savings plans, and usage-based cost models
– Ability to translate cost insights into practical technical engineering solutions
– Ability to assess the effort and impact of cost optimization work on performance, reliability, and business outcomes
– Experience building dashboards, reports, COGS forecasts, and recurring cost review processes
– Ability to analyze large datasets and turn findings into actionable recommendations
– Strong collaboration skills across Engineering, Finance, Product, and leadership
– Ability to lead cost optimization work from discovery through execution
– Strong ownership, independence, and attention to detail
– Excellent communication skills and the ability to explain technical and financial tradeoffs clearly
– Team-oriented mindset

# Preferred Skills

– B.Sc. or M.Sc. in Computer Science or Software Engineering
– Experience in a SaaS company with production-scale cloud infrastructure
– Experience with Datadog and Snowflake
– Experience with AI/ML infrastructure costs, data pipelines, or large-scale compute environments
– Experience in regulated environments such as healthcare, fintech, or enterprise SaaS

# Cloud Platforms & Technologies

## Cloud Providers
– AWS
– Other major cloud providers

## FinOps / Cloud Financial Management
– Cloud billing
– Tagging
– Cost allocation
– Budgets
– Alerts
– Reservations
– Savings plans
– Usage-based cost models

## Monitoring
– Datadog

## Data & Analytics
– Snowflake

# FinOps Responsibilities

– Increase visibility into cloud and infrastructure costs
– Improve cost predictability through forecasting and recurring review processes
– Define and enforce cost governance practices
– Build dashboards and reports for engineering and leadership
– Develop COGS forecasts
– Identify cost drivers through data analysis
– Support optimization of cloud, infrastructure, AI, and data-related spend
– Help engineering teams make cost-aware decisions while maintaining delivery speed
– Evaluate optimization initiatives for their impact on performance, reliability, and business outcomes

# Why You Might Be Interested

This role offers the chance to shape FinOps practice at the intersection of engineering and finance. It spans cloud, AI, data, and third-party engineering spend, with direct collaboration across several core teams. The position also combines hands-on analysis with operational ownership and cross-functional influence. If you enjoy turning cost data into practical engineering and business decisions, this could be a strong fit.